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2022 | OriginalPaper | Buchkapitel

Current State of Speech Emotion Dataset-National and International Level

verfasst von : Surbhi Khurana, Amita Dev, Poonam Bansal

Erschienen in: Artificial Intelligence and Speech Technology

Verlag: Springer International Publishing

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Abstract

Research on emotion extraction from human speech is transitioning from a phase of exploratory study to one with the potential for significant applications, particularly in human–computer interaction. To achieve more accuracy while creating human-computer interaction, the computer system must be provided with good quality data that covers every aspect required for the interaction. The establishment of relevant databases is critical to progress in this area. This research will discuss the scope, naturalness, context, and descriptors of the dataset as the four primary challenges that must be taken care of while constructing databases for emotion embedded speech. Furthermore, the current state of the art is examined to get the status of available datasets for internally spoken languages like English, Dutch, French, and Chinese etc. and for Indian Spoken languages.

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Titel: Current State of Speech Emotion Dataset-National and International Level
verfasst von: Surbhi Khurana
Amita Dev
Poonam Bansal
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Speech Technology
Print ISBN: 978-3-030-95710-0

Electronic ISBN: 978-3-030-95711-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-95711-7_21

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