Performance measurement of a hybrid speech enhancement technique-Reference-Cited by-同舟云学术

Performance measurement of a hybrid speech enhancement technique

Published:2021-03-15 Issue:3 Volume:24 Page:665-677
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Bahadur I. N.,Kumar Sandeep^ORCID,Agarwal Prabhakar

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s10772-021-09830-2.pdf

Reference31 articles.

1. Bagekar, S., & Tank, V. (2018). Dual channel coherence based speech enhancement with wavelet denoising. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1826–1830). Presented at the 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India: IEEE. https://doi.org/10.1109/ICCONS.2018.8662885

2. Boersma, P. (1993). Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound. Presented at the Proceedings of IFA 17, University of Amsterdam (pp. 97–110).

3. Boll, S. (1979). Suppression of acoustic noise in speech using spectral subtraction. IEEE Transactions on Acoustics, Speech, and Signal Processing, 27(2), 113–120. Presented at the IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/TASSP.1979.1163209

4. Cappe, O. (1994). Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor. IEEE Transactions on Speech and Audio Processing, 2(2), 345–349. Presented at the IEEE Transactions on Speech and Audio Processing. https://doi.org/10.1109/89.279283

5. Chiluveru, S. R., and Tripathy, M. (2020). Nonstationary noise reduction in low SNR speech signals with wavelet coefficient feature. In 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 647–653). Presented at the 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India: IEEE. https://doi.org/https://doi.org/10.1109/ICSSIT48917.2020.9214215

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