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Books on the topic 'Speech emotion recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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1

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Emotion Recognition using Speech Features. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5143-3.

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2

Mary, Leena. Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91171-7.

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3

Rao, K. Sreenivasa. Robust Emotion Recognition using Spectral and Prosodic Features. Springer New York, 2013.

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4

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Emotion Recognition Using Speech Features. Springer London, Limited, 2012.

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5

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Emotion Recognition Using Speech Features. Springer New York, 2012.

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6

Anne, Koteswara Rao, Swarna Kuchibhotla, and Hima Deepthi Vankayalapati. Acoustic Modeling for Emotion Recognition. Springer, 2015.

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7

Anne, Koteswara Rao, Swarna Kuchibhotla, and Hima Deepthi Vankayalapati. Acoustic Modeling for Emotion Recognition. Springer, 2015.

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8

Introduction to EEG- and Speech-Based Emotion Recognition. Elsevier Science & Technology Books, 2016.

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9

Abhang, Priyanka A., Suresh C. Mehrotra, and Bharti Gawali. Introduction to EEG- and Speech-Based Emotion Recognition. Elsevier Science & Technology Books, 2016.

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10

Introduction to EEG- and Speech-Based Emotion Recognition. Elsevier, 2016. http://dx.doi.org/10.1016/c2015-0-01959-1.

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11

Mary, Leena. Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition. Springer, 2018.

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12

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Robust Emotion Recognition using Spectral and Prosodic Features. Springer, 2013.

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13

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Robust Emotion Recognition using Spectral and Prosodic Features. Springer, 2013.

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14

Gruber, Tobias. Comparison of Different Features Sets and Classifiers for Emotion Recognition of Speech. GRIN Verlag GmbH, 2015.

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15

Provine, Robert R. Beyond the Smile. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0011.

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With the expectation that innovation, insight, and discovery will come from researching neglected topics, this chapter explores human instincts, including yawning, laughing, vocal crying, emotional tearing, coughing, nausea and vomiting, itching and scratching, and changes in scleral color. The critical change approach is exploited to analyze recently evolved, uniquely human traits (e.g., human-type laughter and speech, emotional tearing, scleral color cues) and compare them with thir primate antecendents, seeking the specific neurological, glandular, and muscular processes responsible for the
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16

Rueschemeyer, Shirley-Ann, and M. Gareth Gaskell, eds. The Oxford Handbook of Psycholinguistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198786825.001.0001.

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This handbook reviews the current state of the art in the field of psycholinguistics. Part I deals with language comprehension at the sublexical, lexical, and sentence and discourse levels. It explores concepts of speech representation and the search for universal speech segmentation mechanisms against a background of linguistic diversity and compares first language with second language segmentation. It also discusses visual word recognition, lexico-semantics, the different forms of lexical ambiguity, sentence comprehension, text comprehension, and language in deaf populations. Part II focuses
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17

Handling Emotions In Humancomputer Dialogues. Springer, 2009.

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18

Pittermann, Angela, Johannes Pittermann, and Wolfgang Minker. Handling Emotions in Human-Computer Dialogues. Springer Netherlands, 2014.

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19

Pittermann, Angela, Johannes Pittermann, and Wolfgang Minker. Handling Emotions in Human-Computer Dialogues. Springer, 2009.

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20

(Editor), Yannis Stylianou, Marcos Faundez-Zanuy (Editor), and Anna Eposito (Editor), eds. Progress in Nonlinear Speech Processing (Lecture Notes in Computer Science). Springer, 2007.

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