Contribution of Common Modulation Spectral Features to Vocal-Emotion Recognition of Noise-Vocoded Speech in Noisy Reverberant Environments

Contribution of Common Modulation Spectral Features to Vocal-Emotion Recognition of Noise-Vocoded Speech in Noisy Reverberant Environments

In one study on vocal emotion recognition using noise-vocoded speech (NVS), the high similarities between modulation spectral features (MSFs) and the results of vocal-emotion-recognition experiments indicated that MSFs contribute to vocal emotion recognition in a clean environment (with no noise and...

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Bibliographic Details
Main Authors: Taiyang Guo, Zhi Zhu, Shunsuke Kidani, Masashi Unoki
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
modulation spectral feature
vocal emotion recognition
noise-vocoded speech
noisy reverberant environment
Online Access:https://www.mdpi.com/2076-3417/12/19/9979

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https://www.mdpi.com/2076-3417/12/19/9979

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