Comparison of Techniques with Speech Enhancement and Nonlinear Rectification for Robust Speaker Identificatio
Author:
Affiliation:
1. Pontifical Catholic University of Peru,Department of Engineering,Lima,Peru
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10085980/10086067/10086073.pdf?arnumber=10086073
Reference20 articles.
1. Model-based compensation of the additive noise for continuous speech recognition. experiments using the Aurora II database and tasks
2. Speaker Verification Using Adapted Gaussian Mixture Models
3. Wavelet denoising of speech using neural networks for threshold selection
4. Speech enhancement and features compensation algorithms for continuous speech recognitio;arcos;2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) ChinaSIP,201
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