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2015 | OriginalPaper | Buchkapitel

7. Speech Based Emotion Recognition

verfasst von : Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah

Erschienen in: Speech and Audio Processing for Coding, Enhancement and Recognition

Verlag: Springer New York

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Abstract

This chapter will examine current approaches to speech based emotion recognition. Following a brief introduction that describes the current widely utilised approaches to building such systems, it will attempt to broadly segregate components commonly involved in emotion recognition systems based on their function (i.e., feature extraction, normalisation, classifier, etc.) to give a broad view of the landscape. The next section of the chapter will then attempt to explain in more detail those components that are part of the most current systems. The chapter will also present a broad overview of how phonetic and speaker variability are dealt with in emotion recognition systems. Finally, the chapter presents the authors’ views on what are the current and future research challenges in the field.

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Vorheriges Kapitel Deep Dynamic Models for Learning Hidden Representations of Speech Features
Nächstes Kapitel Speaker Diarization: An Emerging Research
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Metadaten
Titel
Speech Based Emotion Recognition
verfasst von
Vidhyasaharan Sethu
Julien Epps
Eliathamby Ambikairajah
Copyright-Jahr
2015
Verlag
Springer New York
Buch
Speech and Audio Processing for Coding, Enhancement and Recognition

Print ISBN: 978-1-4939-1455-5

Electronic ISBN: 978-1-4939-1456-2

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-1-4939-1456-2_7

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