The State of the Art of Feature Extraction Techniques in Speech Recognition-Reference-Cited by-同舟云学术

The State of the Art of Feature Extraction Techniques in Speech Recognition

Published:2017-11-16 Issue: Volume: Page:195-207
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Gupta Divya,Bansal Poonam,Choudhary Kavita

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6626-9_22

Reference25 articles.

1. Bhabad, S.S., Kharate, G.K.: An overview of technical progress in speech recognition. Int. J. Adv. Res. Comput. Sci. Soft. Eng. 3(3) (2013)

2. Nehel, N.S., Holambe, R.S.: DWT and LPC based feature extraction methods for isolated word recognition. J. Audio Speech Music Process (2012)

3. Mishra A.N., Shrotriya, M.C., Sharan, S.N.: Comparative wavelet, PLP and LPC speech recognition techniques on the Hindi speech digits database. ICDIP Singapore (2010)

4. Zhang, G., Song Q., Fei, S.: Research on speech emotion. Comput. Technol. Prospect 19, 92–95 (2009) (in Chinese)

5. Wijoyo, T.S.: Speech recognition using linear predictive coding and artificial neural network for controlling movement of mobile robot. In: International Conference on Information and Electronics Engineering

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