An empirical study on analysis window functions for text-independent speaker recognition
Author:
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/s10772-023-10024-1.pdf
Reference41 articles.
1. Al-Kaltakchi, M. T., Al-Nima, R. R. O., Abdullah, M. A., & Abdullah, H. N. (2019). Thorough evaluation of timit database speaker identification performance under noise with and without the g. 712 type handset. International Journal of Speech Technology, 22(3), 851–863.
2. Bacon, S. P., Opie, J. M., & Montoya, D. Y. (1998). The effects of hearing loss and noise masking on the masking release for speech in temporally complex backgrounds. Journal of Speech, Language, and Hearing Research, 41(3), 549–563.
3. Barai, B., Das, D., Das, N., Basu, S., & Nasipuri, M. (2017, December). An ASR system using MFCC and VQ/GMM with emphasis on environmental dependency. In: 2017 IEEE Calcutta conference (CALCON) (pp. 362–366).
4. Barai, B., Das, D., Das, N., Basu, S., & Nasipuri, M. (2018). Closed-set text-independent automatic speaker recognition system using vq/gmm. In V. Bhateja, C. A. Coello Coello, S. C. Satapathy, & P. K. Pattnaik (Eds.), Intelligent engineering informatics (pp. 337–346). Springer.
5. Barai, B., Das, D., Das, N., Basu, S., & Nasipuri, M. (2019). Vq/gmm-based speaker identification with emphasis on language dependency. In R. Chaki, A. Cortesi, K. Saeed, & N. Chaki (Eds.), Advanced computing and systems for security, Vol. eight, (pp. 125–141). Springer. https://doi.org/10.1007/978-981-13-3702-4_8
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