Neural Network Based Gujarati Speech Recognition for Dataset Collected by in-ear Microphone

Author:

Desai Vijayendra A.,Thakar Vishvjit K.

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

1. N. Westerlund, Applied Speech Enhancement for Personal Communication, Licentiate Thesis, Blekinge Institute of Technology, May 2003, Ronneby, Sweden. 270.

2. Detection of respiratory sounds at the external ear;Pressler;IEEE Trans. on Biomedical Engineering,2004

3. Z. Zhang, L. Zicheng, M. Sinclair, A. Acero, L. Deng, J. Droppo, X. Huang and Y. Zheng, Multi-sensory microphones for robust speech detection, enhancement and recognition,Proceedings of the 2004 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ‘04), Vol. 3, pp. iii- 781-4, May 2004.

4. Combining standard and throat microphones for robust speech recognition;Graciarena;IEEE Signal Processing Letters,2003

5. R. S. Kurcan, Isolated Word Recognition from In-ear Microphone Data using Hidden Markov Models, MSEE Thesis, Naval Postgraduate School, Monterey, CA, March 2006. Jonathan G. “A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER).” In Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on, pp. 347-354. IEEE, 1997.

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