{"id":25,"date":"2017-04-28T07:13:18","date_gmt":"2017-04-28T07:13:18","guid":{"rendered":"http:\/\/roch.sdsu.edu\/?page_id=25"},"modified":"2025-12-30T09:46:52","modified_gmt":"2025-12-30T17:46:52","slug":"publications","status":"publish","type":"page","link":"https:\/\/roch.sdsu.edu\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:0px;--awb-margin-top:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1500px + 0px );margin-left: calc(-0px \/ 2 );margin-right: calc(-0px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-blend:overlay;--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:0px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:0px;--awb-width-medium:100%;--awb-spacing-right-medium:0px;--awb-spacing-left-medium:0px;--awb-width-small:100%;--awb-spacing-right-small:0px;--awb-spacing-left-small:0px;\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-section-separator section-separator curved fusion-section-separator-1\" style=\"--awb-spacer-height:99px;--awb-svg-margin-left:0px;--awb-svg-margin-right:0px;--awb-svg-margin-left-medium:0px;--awb-svg-margin-right-medium:0px;--awb-svg-margin-left-small:0px;--awb-svg-margin-right-small:0px;--awb-divider-height:99px;--awb-spacer-padding-top:inherit;--awb-sep-padding:0;--awb-svg-padding:0;\"><div class=\"fusion-section-separator-svg\"><svg class=\"fusion-curved-candy\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" width=\"100%\" height=\"100\" viewBox=\"0 0 100 100\" preserveAspectRatio=\"none\" fill=\"rgba(246,246,246,1)\"><path d=\"M0 100 C 20 0 50 0 100 100 Z\"><\/path><\/svg><\/div><div class=\"fusion-section-separator-spacer\"><div class=\"fusion-section-separator-spacer-height\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-1\"><h1 class=\"fusion-responsive-typography-calculated\" style=\"--fontsize: 34; line-height: 1.4; --fontSize: 34;\" data-fontsize=\"34\" data-lineheight=\"47.6px\">Refereed journal<\/h1>\n<ol>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">D. Gillespie, J. Macauley, and <b>M. A. Roch<\/b>, \u201cPAMGuard: Application Software for Passive Acoustic Detection, Classification, and Localization of Animal Sounds,\u201d J. Acoust. Soc. Am., in press.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">J. C. Sch\u00e4fer-Zimmermann, V. Demartsev, B. Averly, K. Dhanjal-Adams, M. Duteuil, G. Gall, M. Fai\u00df, L. Johnson-Ulrich, D. Stowell, M. B. Manser. <b>M. A. Roch<\/b>*, and A. Strandburg-Peshkin* (2025), \u201canimal2vec and MeerKAT: a self-supervised transformer for rare-event raw audio input and large-scale reference dataset for bioacoustics,\u201d Meth. Ecology &amp; Evolution, pp. 14, <a href=\"https:\/\/doi.org\/10.1111\/2041-210x.70218\" target=\"_blank\" rel=\"noopener noreferrer\">doi:10.1111\/2041-210x.70218<\/a>. <\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">X. Zhang, X. Liu, M. Alksne, and <b>M. A. Roch<\/b> (2025), \u201cAutomating time \u00d7 frequency annotations of delphinid whistles by adapting a foundational transformer neural network,\u201d Sci. Rep., 15(1), pp. 14 <a href=\"https:\/\/www.nature.com\/articles\/s41598-025-21642-x\" target=\"_blank\" rel=\"noopener noreferrer\">doi:10.1038\/s41598-025-21642-x<\/a>.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">P. Best, M. Araya-Salas, A. G. Ekst r\u00f6m, B. Freitas, F. H. Jensen, A. Kershenbaum, Adriano R. Lameira, K. D. S. Lehmann, P. Linhart, R. C. Liu, M. Madhavan, A. Markham, <b>M. A. Roch<\/b>, H. Root-Gutteridge, M. \u0160\u00e1lek, G. Smith-Vidaurre, A. Strandburg-Peshkin, M. R. Warren, M. Wijers, R. Marxer (2025). \u201cBioacoustic fundamental frequency estimation: a cross-species dataset and deep learning baseline,\u201d <i>Bioacoustics<\/i>, pp. 419-446,  34(4), <a href=\"http:\/\/doi.org\/10.1080\/09524622.2025.2500380\" target=\"_blank\" rel=\"noopener noreferrer\">doi:10.1080\/09524622.2025.2500380<\/a>.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">P. Minasandra, E. M. Grout, K. Brock, M. C. Crofoot, V. Demartsev, A. S. Gersick, B. T. Hirsch, K. E. Holekamp, L. Johnson-Ulrich, A. Nayak, J. Ortega, <\/span><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\">, E. D. Strauss, A. Strandburg-Peshkin (2025). \u201cBehavioral sequences across multiple animal species in the wild share common structural features,\u201d <i>Proc. Natl. Acad. Sci.<\/i>, 122(20), pp. 10. <\/span><a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2503962122\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1073\/pnas.2503962122<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">P. Li, X. Liu, H. Klinck, P. Gruden, <\/span><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\"> (2023), \u201cUsing deep learning to track time \u00d7 frequency whistle contours of toothed whales without human-annotated <\/span><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">training data,<\/span><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">\u201d <\/span><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\"><i>J. Acoust. Soc. Am.<\/i>, 154(1), pp. 502-517. <\/span><a href=\"https:\/\/doi.org\/10.1121\/10.0020274\" style=\"background-color: rgba(0, 0, 0, 0);\"><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">doi:<\/span><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">10.1121\/10.0020274<\/span><\/a><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">E. Fleishman, D. Cholewiak, D. Gillespie, T. Helble, H. Klinck, E. M. Nosal, and <\/span><b style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">M. A. Roch<\/b><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\"> (2023). \u201cEcological inferences about marine mammals from passive acoustic data,\u201d <\/span><i style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">Biological Reviews<\/i><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">, pp. 15, <\/span><font style=\"background-color: rgba(0, 0, 0, 0);\"><span style=\"font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform);\"><a href=\"https:\/\/doi.org\/10.1111\/brv.12969\">doi:10.1111\/brv.12969<\/a><\/span><\/font><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-hover);\">.<\/span><\/li>\n<li><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">P. Li, <\/span><b style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">M. A. Roch<\/b><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">, H. Klinck, E. Fleishman, D. Gillespie, E.-M. Nosal, Y. Shiu, and X. Liu (2023). \u201cLearning stage-wise GANs for whistle extraction in time-frequency spectrograms,\u201d <\/span><i style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">IEEE Transactions on Multimedia<\/i><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">, pp. 13, <\/span><a href=\"https:\/\/doi.org\/10.1109\/TMM.2023.3251109\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">doi:10.1109\/TMM.2023.3251109<\/a><span style=\"color: var(--awb-text-color); font-family: var(--awb-text-font-family); font-size: var(--awb-font-size); font-style: var(--awb-text-font-style); font-weight: var(--awb-text-font-weight); letter-spacing: var(--awb-letter-spacing); text-align: var(--awb-content-alignment); text-transform: var(--awb-text-transform); background-color: var(--awb-bg-color-medium-hover);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">P. Conant. P. Li, X. Liu, H. Klinck, E. Fleishman, D. Gillespie, E.-M. Nosal, and <\/span><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\"> (2022). \u201c<\/span><i style=\"background-color: rgba(0, 0, 0, 0);\">Silbido profundo<\/i><span style=\"background-color: rgba(0, 0, 0, 0);\">: An open source package for the use of deep learning to detect odontocete whistles,\u201d J. Acoustical Soc. Am., 152(6), pp. 3800-3808. <\/span><a href=\"https:\/\/doi.org\/10.1121\/10.0016631\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121\/10.0016631<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">V. Demartsev, A. S. Gersick, F. H. Jensen, M. Thomas, <\/span><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\">, M. B., Manser, and A. Strandburg\u2010Peshkin. (2022). \u201cSignalling in groups: New tools for the integration of animal communication and collective movement,\u201d <\/span><i style=\"background-color: rgba(0, 0, 0, 0);\">Methods in Ecology and Evolution<\/i><span style=\"background-color: rgba(0, 0, 0, 0);\">, pp. 12, <\/span><a href=\"https:\/\/doi.org\/10.1111\/2041-210X.13939\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1111\/2041-210x.13939<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">M. Thomas, F. H. Jensen, B. Averly, V. Demartsev, M. B., Manser, T. Sainburg, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, and A. Strandburg-Peshkin, (2022). \u201cA practical guide for generating unsupervised, spectrogram-based latent space representations of animal vocalizations,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Journal of Animal Ecology<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 00, pp. 1-15. Available at <\/span><a href=\"https:\/\/doi.org\/10.1111\/1365-2656.13754\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1111\/1365-2656.13754<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">J. A.<\/span><b style=\"background-color: rgba(0, 0, 0, 0);\"> <\/b><span style=\"background-color: rgba(0, 0, 0, 0);\">Hildebrand, K. E. Frasier, K. E., T. A. Helble, and <\/span><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\">, (2022). &#8220;Performance metrics for marine mammal signal detection and classification,&#8221; <\/span><i style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/i><span style=\"background-color: rgba(0, 0, 0, 0);\"> 151(1), pp. 414-427, Available at <\/span><a href=\"https:\/\/doi.org\/10.1121\/10.0009270\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121\/10.0009270<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, P. Gerstoft, B. Kostek, Z.-H. Michalopoulou, (2021). &#8220;How machine learning contributes to solve acoustical problems,&#8221; Acoustics Today, 17(Winter), pp. 48-56. Available at: <\/span><a href=\"https:\/\/doi.org\/10.1121\/AT.2021.17.4.48\" style=\"font-family: var(--body_typography-font-family); font-size: var(--body_typography-font-size); font-style: var(--body_typography-font-style,normal); font-weight: var(--body_typography-font-weight); letter-spacing: var(--body_typography-letter-spacing); background-color: rgba(255, 255, 255, 0);\">doi:10.1121\/AT.2021.17.4.48<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">S. Madhusudhana, Y. Shiu, H. Klinck, E. Fleishman, X. Liu, E. M. Nosal, T. Helble, D. Cholewiak, D. Gillespie, A. Sirovic, and <\/span><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\">, (2021). \u201cImprove automatic detection of animal call sequences with temporal context,\u201d <\/span><i style=\"background-color: rgba(0, 0, 0, 0);\">J. Roy. Soc. Interface<\/i><span style=\"background-color: rgba(0, 0, 0, 0);\"> 18(180), pp. 20210297. Available at <\/span><a href=\"https:\/\/doi.org\/10.1098\/rsif.2021.0297\" style=\"background-color: rgba(0, 0, 0, 0);\">doi: 10.1098\/rsif.2021.0297.<\/a><\/li>\n<li><b style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/b><span style=\"background-color: rgba(0, 0, 0, 0);\">, S. Lindeneau, G. Singh Aurora, K. E. Frasier, J. A. Hildebrand, H. Glotin, and S. Baumann-Pickering, (2021). &#8220;Using context to train time-domain echolocation click detectors.&#8221; J. Acoust. Soc. Am. 149, 3301-3310. Available at <\/span><a href=\"https:\/\/doi.org\/10.1121\/10.0004992\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121\/10.0004992<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">Y. Shiu*, K. J. Palmer*, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, E. Fleishman, X. Liu, E.-M. Nosal, T. Helble, D. Cholewiak, D. Gillespie, and H. Klinck, (2020). &#8220;Deep neural networks for automated detection of marine mammal species,&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Scientific Reports<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\"> 10(1). Available at: <\/span><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-57549-y\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1038\/s41<\/a><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-57549-y\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">598-<\/a><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-57549-y\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">020-57549-y<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">M. J. Bianco, P. Gerstoft, J. Traer, E. Ozanich, E.,<\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\"> M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, S. Gannot, S., and C. A. Deledalle (2019). &#8220;Machine learning in acoustics: Theory and applications,&#8221; <\/span><i style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc.<\/i><span style=\"background-color: rgba(0, 0, 0, 0);\"> <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 146(5), pp. 3590-3628. Available at: <\/span><a href=\"https:\/\/asa.scitation.org\/doi\/full\/10.1121\/1.5133944\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121<\/a><a href=\"https:\/\/asa.scitation.org\/doi\/full\/10.1121\/1.5133944\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">\/1.51<\/a><a href=\"https:\/\/asa.scitation.org\/doi\/full\/10.1121\/1.5133944\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background-color: rgba(0, 0, 0, 0);\">33944<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">K. E. Frasier, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, M. S. Soldevilla, S. M. Wiggins, L. P. Garrison, and J. A. Hildebrand. \u201cAutomated classification of dolphin echolocation click types from the Gulf of Mexico,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">PLOS Comput. Biol.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 23 pp., December, 2017. Available at <\/span><a href=\"http:\/\/journals.plos.org\/ploscompbiol\/article?id=10.1371\/journal.pcbi.1005823\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1371\/journal.pcbi.1005823<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">A. E. Simonis, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, B. Bailey, J. Barlow, R. E. S. Clemesha, S. Iacobellis, J. A. Hildebrand, J., and S. Baumann-Pickering,. &#8220;Lunar cycles affect common dolphin Delphinus delphis foraging in the Southern California Bight,&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Marine Ecology Progress Series<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\"> 577. 221-235, August, 2017. Available at <\/span><a href=\"https:\/\/doi.org\/10.3354\/meps12247\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.3354\/meps12247<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">A. Van Cise, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, R. W. Baird, T. A. Mooney, and J. Barlow, \u201cAcoustic differentiation of Shiho- and Naisa-type short-finned pilot whales in the Pacific Ocean,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 141(2), 737-748, February 2017. Available at <\/span><a href=\"http:\/\/dx.doi.org\/10.1121\/1.4974858\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121\/1.4974858<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">K. E. Frasier, E. E. Henderson, H. R. Bassett, and <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, \u201cAutomated identification and clustering of subunits within delphinid vocalizations,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Marine Mammal Science<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 32(3), pp. 911-930, July 2016. Available at <\/span><a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/mms.12303\/abstract\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1111\/mms.12303<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">A. Kershenbaum, D. T. Blumstein, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, \u00c7. Ak\u00e7ay, G. Backus, M. Bee, K. Bohn, Y. Cao, G. Carter, C. C\u00e4sar, M.Coen, S. L. DeRuiter, L. Doyle, S. Edelman, R. Ferrer-i-Cancho, T. M. Freeberg, E. C. Garland, M. Gustison, H. E. Harley, C. Huetz, M. Hughes, J. H. Bruno, A. Ilany, D. Z. Jin, M. Johnson, C. Ju, J. Karnowski, B. Lohr, M. B. Manser, B. McCowan, E. Mercardo III, P. M. Narins, A. Piel, M. Rice, R. Salmi, K. Sasahara, L. Sayigh, Y. Shiu, C. Taylor, E. E. Vallejo, S. Waller, and V. Zamora-Gutierrez.. &#8220;Acoustic sequences in non-human animals: A tutorial review and prospectus,&#8221; Biological Reviews, February 2016, Available at <\/span><a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/brv.12160\/abstract\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1111\/brv.12160<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, H. Batchelor, S. Baumann-Pickering, C. L. Berchok, D. Cholewiak, E. Fujioka, E. C. Garland, S. Herbert, J. A. Hildebrand, E. M. Oleson, S. Van Parijs, D. Risch, A. \u0160irovi\u0107, and M. S. Soldevilla, \u201cManagement of acoustic metadata for bioacoustics,\u201d<\/span><em style=\"background-color: rgba(0, 0, 0, 0);\"> Ecological Informatics<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 31, 122-136, January, 2016. <\/span><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1574954115001983\" style=\"background-color: rgba(0, 0, 0, 0);\">Open access<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">S. Baumann-Pickering, A. E. Simonis, E. M. Oleson, R. W. Baird, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, and S. M. Wiggins, \u201cFalse killer whale and short-finned pilot whale acoustic identification.\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Endangered Species Research<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 28, 97-108, 2015. <\/span><a href=\"https:\/\/doi.org\/10.3354\/esr00685\" style=\"background-color: rgba(0, 0, 0, 0);\">Open access<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">S. Baumann-Pickering, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, S. M. Wiggins, H.-U. Schnitzler, and J. A. Hildebrand, &#8220;Acoustic behavior of melon-headed whales varies on a diel cycle.&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Behav. Ecol. Sociobiol.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 69, 1553-1563, September, 2015. <\/span><a href=\"http:\/\/link.springer.com\/article\/10.1007\/s00265-015-1967-0\" style=\"background-color: rgba(0, 0, 0, 0);\">Open access<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">A. \u0160irovi\u0107, A. Rice, E. Chou, J. A. Hildebrand, S. M. Wiggins, and <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, \u201cSeven years of blue and fin whale call abundance in Southern California,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Endangered Species Research<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 28, 61-76, 2015. <\/span><a href=\"https:\/\/dx.doi.org\/10.3354\/esr00676\" style=\"background-color: rgba(0, 0, 0, 0);\">Open access<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, J. Stinner-Sloan, S. Baumann-Pickering, and S. M. Wiggins. \u201cThe Effects of Site and Equipment Variation on Species Identification of Delphinids from Their Echolocation Clicks,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 173(1), 22-29, January, 2015. Postprint <\/span><a href=\"http:\/\/roch.sdsu.edu\/research\/Roch2015-SiteEquipment.pdf\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">Baumann-Pickering, S.,<\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\"> Roch, M. A.<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, Brownell Jr, R. L., Simonis, A. E., McDonald, M. A., Solsona-Berga, A., Oleson, E. M., Wiggins, S. M. and Hildebrand, J. A. &#8220;Spatio-Temporal Patterns of Beaked Whale Echolocation, Signals in the North Pacific&#8221;. PLoS One 9, 17, January, 2014. Available at <\/span><a href=\"http:\/\/www.plosone.org\/article\/info%3Adoi\/10.1371\/journal.pone.0086072\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1371\/journal.pone.0086072.g001<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">A. Kershenbaum and <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, \u201cAn image processing based paradigm for the extraction of tonal sounds in cetacean communications,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, vol. 134(6), pp. 4435-4445, December, 2013.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">M. Gassmann, E. E. Henderson, S. M. Wiggins, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, and J. A. Hildebrand, \u201cOffshore killer whale tracking using multiple hydrophone arrays,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, vol. 134(5), pp. 3513-3521, November, 2013.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">S. Baumann-Pickering, M. A. McDonald, A. E. Simonis, A. Solsona Berga, K. P. B. Merkens, E. M. Oleson, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, S. M. Wiggins, S. Rankin, T. M. Yack, and J. A. Hildebrand, \u201cSpecies-specific beaked whale echolocation signals,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am., <\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">vol. 134(3), pp. 2293-2301, 2013. Postprint <\/span><a href=\"http:\/\/roch.sdsu.edu\/research\/Baumann-Pickering2013-BeakedWhaleEcholocationSignalsAuthorCopy.pdf\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">T. Helble, G. R. Ierley, G. L. D&#8217;spain, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, J. A. Hildebrand, &#8220;A generalized power-law detection algorithm for humpback whale vocalizations,&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.,<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\"> Vol. 131(4), pp. 2682-2699, 2012. Postprint <\/span><a href=\"http:\/\/roch.sdsu.edu\/research\/Helble2012-GeneralizedPowerLaw.pdf\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, T.S. Brandes, B. Patel, Y. Barkley, S. Baumann-Pickering, M.S. Soldevilla, &#8220;Automated extraction of odontocete whistle contours,&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acous. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, Vol. 130(4), pp. 2212-2223, 2011. Postprint <\/span><a href=\"http:\/\/roch.sdsu.edu\/research\/Roch2011-WhistleContour.pdf\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, H. Klinck, S. Baumann-Pickering, S. Baumann-Pickering, D. K..Mellinger, S. Qui, M. S. Soldevilla, and J. A. Hildebrand, &#8220;Classification of echolocation clicks of odontocetes from the Southern California Bight,&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, Vol. 129(1), pp.467-475, 2011. Postprint <\/span><a href=\"http:\/\/roch.sdsu.edu\/research\/Roch2011-ClickSocal.pdf\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">T. M. Yack, J. Barlow, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, H. Klinck, S. Martin, D. K. Mellinger, D. Gillespie, \u201cComparison of beaked whale detection algorithms,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Appl. Acous.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\"> Vol. 71(11), pp. 1043-1049, Nov. 2010.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">S. Baumann-Pickering, <\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, S. M. Wiggins, H.-U. Schnitzler, and J. A. Hildebrand, &#8220;Discriminating features of echolocation clicks of melon-headed whales (<\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Peponocephala electra<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">), bottlenose dolphins (<\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Tursipos truncatus<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">) and Gray&#8217;s spinner dolphins (<\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Stenella longirostris longirostris<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">)&#8221;, Vol. 128(4), pp. 2112-2224, <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, 2010. Available at <\/span><a href=\"https:\/\/doi.org\/10.1121\/1.3479549\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121\/1.3479549<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">S. Baumann-Pickering, S. M. Wiggins, E. H. Roth,<\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\"> M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, H.-U. Schnitzler, J. A. Hildebrand, \u201cEcholocation signals of a beaked whale at Palmyra Atoll,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, vol. 127(6), pp. 3790-3799, July 2010. Availabe at <\/span><a href=\"https:\/\/doi.org\/10.1121\/1.3409478\" style=\"background-color: rgba(0, 0, 0, 0);\">doi:10.1121\/1.3409478<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><span style=\"background-color: rgba(0, 0, 0, 0);\">M. S. Soldevilla,<\/span><strong style=\"background-color: rgba(0, 0, 0, 0);\"> M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, E. E. Henderson, G. S. Campbell, S. M. Wiggins, and J. A. Hildebrand, &#8220;Classification of Risso\u2019s and Pacific white-sided dolphins using spectral properties of echolocation clicks,&#8221; in <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. Am. <\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, Vol 124(1), pp. 609-624, July 2008.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, M. S. Soldevilla, R. Hoenigman, S. M. Wiggins, J. A. Hildebrand, &#8220;Comparison of machine learning techniques for the classification of echolocation clicks from three species of odontocetes,&#8221; <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Canadian Acoust.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\"> Vol. 36(1), pp. 41-47, 2008. Postprint <\/span><a href=\"http:\/\/repositories.cdlib.org\/postprints\/2919\/\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, R. R. Hurtig, T. Huang, J. Liu, and Sonia Arteaga, \u201cForeground auditory scene analysis for hearing aids,\u201d in <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Pattern Recognition Letters<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, Vol. 28(11), pp. 1351-1359, Aug, 2007.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, M. S. Soldevilla, J. C. Burtenshaw, E. Henderson, and J. A. Hildebrand, \u201cGaussian mixture model classification of odontocetes in the Southern California Bight and the Gulf of California,\u201d in <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">J. Acoust. Soc. of Am.<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, Vol. 121(3), pp. 1737-1748, March, 2007. Postprint <\/span><a href=\"http:\/\/repositories.cdlib.org\/postprints\/2131\/\" style=\"background-color: rgba(0, 0, 0, 0);\">available<\/a><span style=\"background-color: rgba(0, 0, 0, 0);\">.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\">, \u201cGaussian-Selection Based Non-Optimal Search for Speaker Identification,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">Speech Communication <\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">. Vol. 48(10), pp. 85-95, January 2006.<\/span><\/li>\n<li><strong style=\"background-color: rgba(0, 0, 0, 0);\">M. A. Roch<\/strong><span style=\"background-color: rgba(0, 0, 0, 0);\"> and R. R. Hurtig, \u201cThe integral decode: A smoothing technique for robust HMM-based speaker recognition,\u201d <\/span><em style=\"background-color: rgba(0, 0, 0, 0);\">IEEE Transactions on Speech and Audio Processing<\/em><span style=\"background-color: rgba(0, 0, 0, 0);\">, Vol. 10(5), pp. 315-324, July 2002.<\/span><\/li>\n<\/ol>\n<ol>\n<\/ol>\n<\/div><div class=\"fusion-section-separator section-separator curved fusion-section-separator-2\" style=\"--awb-spacer-height:99px;--awb-svg-margin-left:0px;--awb-svg-margin-right:0px;--awb-svg-margin-left-medium:0px;--awb-svg-margin-right-medium:0px;--awb-svg-margin-left-small:0px;--awb-svg-margin-right-small:0px;--awb-divider-height:99px;--awb-spacer-padding-top:inherit;--awb-sep-padding:0;--awb-svg-padding:0;\"><div class=\"fusion-section-separator-svg\"><svg class=\"fusion-curved-candy\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" width=\"100%\" height=\"100\" viewBox=\"0 0 100 100\" preserveAspectRatio=\"none\" fill=\"rgba(246,246,246,1)\"><path d=\"M0 100 C 20 0 50 0 100 100 Z\"><\/path><\/svg><\/div><div class=\"fusion-section-separator-spacer\"><div class=\"fusion-section-separator-spacer-height\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-2\"><h1>Refereed Proceedings<\/h1>\n<ol>\n<li>Li, P., Liu, X., Palmer, K. J., Fleishman, E., Gillespie, D., Nosal, E.-M., Shiu , Y., Klinck, H., Cholewiak, D., Helble, T., and <strong>Roch, M. A.<\/strong> (2020). &#8220;Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours,&#8221; in Intl. Joint Conf. Neural Net. (Glasgow, Scotland, July 19-24), pp. 10. DOI:\u00a0 <a href=\"https:\/\/doi.org\/10.1109\/IJCNN48605.2020.9206992\">10.1109\/IJCNN48605.2020.9206992<\/a>, arXiv <a href=\"https:\/\/arxiv.org\/abs\/2005.08894\">preprint<\/a>.<\/li>\n<li><strong>M. A. Roch<\/strong>, S. Baumann-Pickering, H. Batchelor, D. Hwang, A. \u0160irovi\u0107, J. A. Hildebrand, C. L. Berchok, D. Cholewiak, L. M. Munger, E. M. Oleson, S. V. Parijs, D. Risch, and M. S. Soldevilla, \u201cTethys: A workbench and database for passive acoustic metadata,\u201d <em>Proc. IEEE Oceans<\/em>, San Diego, CA, 5 pp., October, 2013. Preprint<a href=\"http:\/\/roch.sdsu.edu\/research\/Roch2013-Tethys-ProcOceans-Preprint.pdf\"> available.<\/a><\/li>\n<li>N. Nichols, L. Atlas, A. Bowles,<strong> M. Roch<\/strong>, &#8220;Call and component evaluation for improved performance of recognition of killer whale individuals,&#8221; to appear in <em>Proc. IEEE Oceans, <\/em>Seattle, WA, Sept. 2010. (N. Nichols won 2nd place in the graduate student poster competition)<\/li>\n<li>S. K. Madhusudhana,<strong> M. A. Roch<\/strong>, E. M. Oleson, M. S. Soldevilla, J. A. Hildebrand, &#8220;Blue Whale B and D Call Classification Using a Frequency Domain Based Robust Contour Extractor,&#8221; <em>Proc. IEEE Oceans<\/em>, Bremen, Germany, 7 pp., May 2009. (S. Madhusudhana won 2nd place in the graduate student poster competition)<\/li>\n<li>S. K. Madhusudhana, E. M. Oleson, M. S. Soldevilla, <strong>M. A. Roch<\/strong>, and J. A. Hildebrand, \u201cFrequency based algorithm for robust contour extraction for blue whale B and D calls,\u201d in <em>Proc. IEEE Oceans<\/em>, Kobe, Japan, 8 pp., April 2008. (S. Madhusudhana won 2nd place in the graduate student poster competition)<\/li>\n<li>L. Girod and <strong>M. A. Roch<\/strong>, \u201cAn overview of the use of remote embedded sensors for audio acquisition and processing,\u201d in <em>Proceedings of the IEEE International Symposium on Multimedia (ISM 2006)<\/em>, San Diego, CA, December 2006. Postprint <a href=\"http:\/\/repositories.cdlib.org\/cens\/wps\/350\/\">available.<\/a><\/li>\n<li><strong>M. Roch<\/strong>, R. R. Hurtig, T. Huang, and J. Liu, \u201cAudio Scene Analysis as a Control System for Hearing Aids,\u201d in <em>Proceedings of the IEEE International Symposium on Multimedia (ISM 2005)<\/em>, Irvine, CA, pp. 772-778, December 2005.<\/li>\n<li><strong>M. Roch<\/strong>, R. R. Hurtig, J. Liu, and T. Huang, \u201cTowards a Cohort-Selective Frequency-Compression Hearing Aid,\u201d in <em>Proceedings of The International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences<\/em>, Las Vegas, NV, pp. 164-170, June 2004.<\/li>\n<li><strong>M. Roch<\/strong> and Y. Cheng, \u201cSpeaker Segmentation Using the MAP-Adapted Bayesian Information Criterion,\u201d in <em>Proceedings of Odyssey04, The Speaker and Language Recognition Workshop<\/em>, Toledo, Spain : ISCA, pp. 349-354, May 2004.<\/li>\n<li><strong>M. A. Roch<\/strong>, \u201cGaussian selection based non-optimal search for speaker identification,\u201d invited paper, in <em>Proceedings of the Special Workshop in Maui<\/em>, January 2004, CD-ROM.<\/li>\n<li><strong>M. A. Roch<\/strong>, \u201cA Gaussian-selection based preclassifier for speaker recognition,\u201d in <em>Proceedings of the Pan-American\/Iberian Meeting on Acoustics of The Acoustical Society of America and The Mexican Institute of Acoustics<\/em>, December 2002, CD-ROM.<\/li>\n<\/ol>\n<\/div><div class=\"fusion-section-separator section-separator curved fusion-section-separator-3\" style=\"--awb-spacer-height:99px;--awb-svg-margin-left:0px;--awb-svg-margin-right:0px;--awb-svg-margin-left-medium:0px;--awb-svg-margin-right-medium:0px;--awb-svg-margin-left-small:0px;--awb-svg-margin-right-small:0px;--awb-divider-height:99px;--awb-spacer-padding-top:inherit;--awb-sep-padding:0;--awb-svg-padding:0;\"><div class=\"fusion-section-separator-svg\"><svg class=\"fusion-curved-candy\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" width=\"100%\" height=\"100\" viewBox=\"0 0 100 100\" preserveAspectRatio=\"none\" fill=\"rgba(246,246,246,1)\"><path d=\"M0 100 C 20 0 50 0 100 100 Z\"><\/path><\/svg><\/div><div class=\"fusion-section-separator-spacer\"><div class=\"fusion-section-separator-spacer-height\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-3\"><h1>Public Datasets<\/h1>\n<p>1. <b>M. A. Roch<\/b>, Y. Barkley, X. Zhang, M. S. Soldevilla, S. Baumann-Pickering, and J. A. Hildebrand, \u201cDCLDE 2011 Conference Data: Annotated Odontocete Whistles,\u201d National Centers for Environmental Information, 2025, DOI: <a href=\"https:\/\/doi.org\/10.25921\/wsnc-js16\" target=\"_blank\" rel=\"noopener noreferrer\">10.25921\/wsnc-js16<\/a>.<\/p>\n<p>2. J. Schaefer-Zimmermann, V. Demartsev, B. Averly, K. Dhanjal-Adams, M. Duteil, G. Gall, M. Fai\u00df, L. Johnson-Ulrich, D. Stowell, M. B. Manser, <b>M. A. Roch<\/b>, and A. Strandburg-Peshkin, \u201cMeerKAT: Meerkat Kalahari Audio Transcripts,\u201d Edmond Open Research Data Repository, The Max Planck Society, 2024, DOI: 1<a href=\"https:\/\/doi.org\/10.17617\/3.0J0DY\">0.17617\/3.0J0DYB<\/a>.<\/p>\n<\/div><div class=\"fusion-section-separator section-separator curved fusion-section-separator-4\" style=\"--awb-spacer-height:99px;--awb-svg-margin-left:0px;--awb-svg-margin-right:0px;--awb-svg-margin-left-medium:0px;--awb-svg-margin-right-medium:0px;--awb-svg-margin-left-small:0px;--awb-svg-margin-right-small:0px;--awb-divider-height:99px;--awb-spacer-padding-top:inherit;--awb-sep-padding:0;--awb-svg-padding:0;\"><div class=\"fusion-section-separator-svg\"><svg class=\"fusion-curved-candy\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" width=\"100%\" height=\"100\" viewBox=\"0 0 100 100\" preserveAspectRatio=\"none\" fill=\"rgba(246,246,246,1)\"><path d=\"M0 100 C 20 0 50 0 100 100 Z\"><\/path><\/svg><\/div><div class=\"fusion-section-separator-spacer\"><div class=\"fusion-section-separator-spacer-height\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-4\"><h1 class=\"fusion-responsive-typography-calculated\" style=\"--fontsize: 34; line-height: 1.4;\" data-fontsize=\"34\" data-lineheight=\"47.6px\">Book chapters and special issues<\/h1>\n<ol start=\"1\" type=\"1\">\n<li>Z. H. Michalopoulou, P. Gerstoft, B. Kostek, and <b>M. A. Roch<\/b>. &#8220;Introduction to the special issue on machine learning in acoustics,&#8221; <i>J. Acoust. Soc. Am.<\/i>, 150(4), 3204-3210, October, 2021. <a href=\"https:\/\/doi.org\/10.1121\/10.0006783\">DOI:10.1121\/10.0006783<\/a>.<\/li>\n<li>D. K. Mellinger, <strong>M. A. Roch<\/strong>, E.-M. Nosal, and H. Klinck. Signal Processing. In <em>Listening in the Ocean<\/em>, eds. W. W. L. Au and M. O. Lammers, pp. 359-409, New York: Springer, 2016.<\/li>\n<li><strong>M. A. Roch<\/strong>, A \u0160irovi\u0107, and S. Baumann-Pickering, \u201cDetection, classification, and localization of cetaceans by groups at The Scripps Institution of Oceanography and San Diego State University (2003-2013)\u201d. In <em>Detection, Classification, Localization of Marine Mammals using passive acoustics<\/em>, eds. O. Adam and F. Samaran), pp. 27-52. Paris: Dirac NGO, 2013. Preprint <a href=\"http:\/\/cetus.ucsd.edu\/Publications\/Publications\/RochDCL2013.pdf\">available<\/a>.<\/li>\n<\/ol>\n<\/div><div class=\"fusion-section-separator section-separator curved fusion-section-separator-5\" style=\"--awb-spacer-height:99px;--awb-svg-margin-left:0px;--awb-svg-margin-right:0px;--awb-svg-margin-left-medium:0px;--awb-svg-margin-right-medium:0px;--awb-svg-margin-left-small:0px;--awb-svg-margin-right-small:0px;--awb-divider-height:99px;--awb-spacer-padding-top:inherit;--awb-sep-padding:0;--awb-svg-padding:0;\"><div class=\"fusion-section-separator-svg\"><svg class=\"fusion-curved-candy\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" width=\"100%\" height=\"100\" viewBox=\"0 0 100 100\" preserveAspectRatio=\"none\" fill=\"rgba(246,246,246,1)\"><path d=\"M0 100 C 20 0 50 0 100 100 Z\"><\/path><\/svg><\/div><div class=\"fusion-section-separator-spacer\"><div class=\"fusion-section-separator-spacer-height\"><\/div><\/div><\/div><div class=\"fusion-text fusion-text-5\"><h1 data-fontsize=\"34\" style=\"--fontSize: 34; line-height: 1.4;\" data-lineheight=\"47.6px\" class=\"fusion-responsive-typography-calculated\">Other scholarly work<\/h1>\n<ol>\n<li>S. Baumann-Pickering, L. K. Baldwin, A. E. Simonis, <strong>M. A. Roch<\/strong>, M. L. Melcon, J. A. Hildebrand, E. M. Oleson, R. W. Baird, G. S. Schorr, D. L. Webster, D. J. McSweeny, \u201cCharacterization of Marine Mammal Recordings from the Hawaii Range Complex,\u201d NPS-OC-10-004CR, Naval Postgraduate School, Monterey, CA, 2010.  Accessible via:  http:\/\/www.nps.edu\/Research\/TechReports.html<\/li>\n<li>J. A. Hildebrand, H. Bassett, S. Baumann-Pickering, G. Campbell, A. Cummins, S. Kerosky, M. Melcon, K. Merkens, L. Munger,<strong> M. A. Roch<\/strong>, L. Roche, A. Simonis and S. Wiggins, \u201cHigh Frequency Acoustic Recording Package Data Summary Report,\u201d March 14, 2009 \u2013 March 26, 2010 SOCAL Site N. Marine Physical Laboratory. Scripps Institution of Oceanography, University of California, San Diego, LA Jolla, CA, 2010.<\/li>\n<li>J. A. Hildebrand, H. Bassett, S. Baumann-Pickering, G. Campbell, A. Cummins, S. Kerosky, M. Melcon, K. Merkens, L. Munger, <strong>M. A. Roch<\/strong>, L. Roche, A. Simonis and S. Wiggins (2010b) High Frequency Acoustic Recording Package Data Summary Report March 11, 2009 \u2013 March 25, 2010 SOCAL Site M. Marine Physical Laboratory. Scripps Institution of Oceanography, University of California, San Diego, LA Jolla, CA, 2010.<\/li>\n<li><strong>M. A. Roch<\/strong>, A. E. Rosenberg, and F. K. Soong, \u201cThe use of pitch contour information to improve text-dependent speaker verification performance,\u201d Tech. Mem. BL011526-951228-18TM, AT&amp;T Bell Laboratories, Murray Hill, NJ, December 1995<\/li>\n<\/ol>\n<p>* Indicates shared first or senior authorship.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-25","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/pages\/25","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/comments?post=25"}],"version-history":[{"count":41,"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/pages\/25\/revisions"}],"predecessor-version":[{"id":635,"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/pages\/25\/revisions\/635"}],"wp:attachment":[{"href":"https:\/\/roch.sdsu.edu\/index.php\/wp-json\/wp\/v2\/media?parent=25"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}