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Emotion Recognition From Speech Using Perceptual Filter and Neural Network

Emotion Recognition From Speech Using Perceptual Filter and Neural Network

Revathi A., Sasikaladevi N.
Copyright: © 2022 |Pages: 11
ISBN13: 9781668424087|ISBN10: 1668424088|EISBN13: 9781668424094
DOI: 10.4018/978-1-6684-2408-7.ch054
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MLA

A., Revathi, and Sasikaladevi N. "Emotion Recognition From Speech Using Perceptual Filter and Neural Network." Research Anthology on Artificial Neural Network Applications, edited by Information Resources Management Association, IGI Global, 2022, pp. 1146-1156. https://doi.org/10.4018/978-1-6684-2408-7.ch054

APA

A., R. & N., S. (2022). Emotion Recognition From Speech Using Perceptual Filter and Neural Network. In I. Management Association (Ed.), Research Anthology on Artificial Neural Network Applications (pp. 1146-1156). IGI Global. https://doi.org/10.4018/978-1-6684-2408-7.ch054

Chicago

A., Revathi, and Sasikaladevi N. "Emotion Recognition From Speech Using Perceptual Filter and Neural Network." In Research Anthology on Artificial Neural Network Applications, edited by Information Resources Management Association, 1146-1156. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-2408-7.ch054

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Abstract

This chapter on multi speaker independent emotion recognition encompasses the use of perceptual features with filters spaced in Equivalent rectangular bandwidth (ERB) and BARK scale and vector quantization (VQ) classifier for classifying groups and artificial neural network with back propagation algorithm for emotion classification in a group. Performance can be improved by using the large amount of data in a pertinent emotion to adequately train the system. With the limited set of data, this proposed system has provided consistently better accuracy for the perceptual feature with critical band analysis done in ERB scale.

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