Analysis of mutual duration and noise effects in speaker recognition: benefits of condition-matched cohort selection in score normalization

2015 ◽  
Author(s):  
Andreas Nautsch ◽  
Rahim Saeidi ◽  
Christian Rathgeb ◽  
Christoph Busch
Keyword(s):  
Speaker Recognition ◽  
Matched Cohort ◽  
Noise Effects ◽  
Cohort Selection ◽  
Score Normalization

Analysis of Score Normalization in Multilingual Speaker Recognition

2017 ◽  
Author(s):  
Pavel Matějka ◽  
Ondřej Novotný ◽  
Oldřich Plchot ◽  
Lukáš Burget ◽  
Mireia Diez Sánchez ◽  
...  
Keyword(s):  
Speaker Recognition ◽  
Score Normalization

Distant Speaker Recognition: An Overview

2016 ◽  
Vol 13 (02) ◽  
pp. 1550032 ◽  
Author(s):  
Mohammad Ali Nematollahi ◽  
S. A. R. Al-Haddad
Keyword(s):  
Speaker Recognition ◽  
Ambient Noise ◽  
Specific Information ◽  
Viable Systems ◽  
Speech Distortion ◽  
Score Normalization ◽  
Robust Feature Extraction ◽  
Feature Normalization ◽  
Performance Results ◽  
Real Time Application

Distant speaker recognition (DSR) system assumes the microphones are far away from the speaker’s mouth. Also, the position of microphones can vary. Furthermore, various challenges and limitation in terms of coloration, ambient noise and reverberation can bring some difficulties for recognition of the speaker. Although, applying speech enhancement techniques can attenuate speech distortion components, it may remove speaker-specific information and increase the processing time in real-time application. Currently, many efforts have been investigated to develop DSR for commercial viable systems. In this paper, state-of-the-art techniques in DSR such as robust feature extraction, feature normalization, robust speaker modeling, model compensation, dereverberation and score normalization are discussed to overcome the speech degradation components i.e., reverberation and ambient noise. Performance results on DSR show that whenever speaker to microphone distant increases, recognition rates decreases and equal error rate (EER) increases. Finally, the paper concludes that applying robust feature and robust speaker model varying lesser with distant, can improve the DSR performance.

Sign in / Sign up

Export Citation Format

Share Document