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This paper proposes a new feature extraction scheme for speaker-independent Speech Emotion Recognition under both unsupervised and supervised conditions following a non-hierarchical process first and then a hierarchical one. The feature is derived from the Teager energy operated wavelet coefficients of speech signal. The wavelet coefficients enhanced by TE operation is used to compute entropy thus...
This paper presents a hierarchical Speech Emotion Recognition method, where the speaker-independent emotional features are derived from the Teager energy (TE) operated wavelet coefficients of speech signal. The detail as well as approximate Wavelet coefficients enhanced by TE operation is used to compute entropy. Entropy values of TE operated detail and approximate wavelet coefficients reduce feature...
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