Study on processing of wavelet speech denoising in speech recognition system

Author:

Zhong Xinmei,Dai Yunzhong,Dai Yong,Jin Tao

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference17 articles.

1. Aicha, A. B., & Jebara, S. B. (2012). Reduction of musical residual noise using perceptual tools with classic speech denoising techniques. Signal Image & Video Processing, 6(1), 85–97.

2. Alissali, D., Deleglise, P., & Rogozan, A. (2017). Asynchronous integration of visual information in an automatic speech recognition system. International conference on Spoken Language, 1996. Icslp 96. Proceedings of the IEEE 1, 34–37.

3. Bauer, B., & Kraiss, K. F. (2001). Towards an automatic sign language recognition system using subunits. Revised papers from the international gesture workshop on gesture and sign languages in human-computer interaction (pp. 64–75). New York: Springer-Verlag.

4. Gesell, G., Fischer, H., & König, T. (2009). Reduction of noise interference from METEOSAT water vapor image data by means of Fourier transform and frequency domain filtering. Journal of Atmospheric Oceanic Technology, 1(2), 147–151.

5. Halim, Z., Abbas, G. (2015). A kinect-based sign language hand gesture recognition system for hearing- and speech-impaired: A pilot study of Pakistani sign language. Assistive Technology the Official Journal of Resna, 27(1), 34.

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