Closed-set speaker identification using VQ and GMM based models

Author:

Barai Bidhan,Chakraborty Tapas,Das Nibaran,Basu SubhadipORCID,Nasipuri Mita

Funder

University Grants Commission

Department of Biotechnology , Ministry of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

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

Reference112 articles.

1. Abd El-Moneim, S., Sedik, A., Nassar, M. A., El-Fishawy, A. S., Sharshar, A. M., Hassan, S. E., et al. (2021). Text-dependent and text-independent speaker recognition of reverberant speech based on CNN. International Journal of Speech Technology, 20, 99–108.

2. Anand, P., Singh, A. K., Srivastava, S., & Lall, B. (2019). Few shot speaker recognition using deep neural networks. arXiv preprint arXiv:1904.08775.

3. Aronowitz, H., & Aronowitz, V. (2010, March). Efficient score normalization for speaker recognition. In 2010 IEEE international conference on acoustics, speech and signal processing (pp. 4402–4405) IEEE.

4. Avci, E. (2007). A new optimum feature extraction and classification method for speaker recognition: GWPNN. Expert Systems with Applications, 32(2), 485–498.

5. Barai, B., Das, D., Das, N., Basu, S., & Nasipuri, M. (2017). An ASR system using MFCC and VQ/GMM with emphasis on environmental dependency, IEEE Calcutta Conference (CALCON), Kolkata (pp. 362–366).

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