An Effective Speech Emotion Recognition Using Artificial Neural Networks

Author:

Anoop V.,Rao P. V.,Aruna S.

Publisher

Springer Singapore

Reference12 articles.

1. Falk, Tiago H., Chenxi Zheng, and Wai-Yip Chan. 2010. A Non-Intrusive Quality and Intelligibility Measure of Reverberant and De-reverberated Speech. IEEE Transactions on Audio, Speech, and Language Processing 18 (7).

2. Wolfe, P.J., and S.J. Godsill. 2003. Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement. EURASIP Journal on Applied Signal Processing 2003 (10): 1043–1051.

3. El Ayadia, Moataz, Mohamed S. Kamel, and Fakhri Karray. 2011. Survey on Speech Emotion Recognition: Features, Classification Schemes, and Databases. Pattern Recognition 44: 572–587.

4. Anoop, V., and P.V. Rao. 2015. Performance Analysis of Speech Enhancement Methods Using Adaptive Algorithms and Optimization Techniques. IEEE Digital Library—International Conference on Communication and Signal Processing, India, 2–4 Apr 2015, 1322–1326. ISBN 978-1-4799-8080-2.

5. Ephraim, Y., and D. Malah. 1984. Speech Enhancement Using a Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator. IEEE Transactions on Acoustics, Speech, and Signal Processing ASSP-32 (6): 1109–1121.

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