Restoring the residual speaker information in total variability modeling for speaker verification

2011 ◽  
Author(s):  
Ce Zhang ◽  
Rong Zheng ◽  
Bo Xu
Keyword(s):  
Speaker Verification ◽  
Variability Modeling ◽  
Total Variability ◽  
Speaker Information

UBM fused total variability modeling for language identification

2014 ◽  
Author(s):  
Maarten van Segbroeck ◽  
Ruchir Travadi ◽  
Shrikanth S. Narayanan
Keyword(s):  
Language Identification ◽  
Variability Modeling ◽  
Total Variability

Total Variability Modeling Using Source-Specific Priors

2016 ◽  
Vol 24 (3) ◽  
pp. 504-517 ◽  
Author(s):  
Sven Ewan Shepstone ◽  
Kong Aik Lee ◽  
Haizhou Li ◽  
Zheng-Hua Tan ◽  
Soren Holdt Jensen
Keyword(s):  
Variability Modeling ◽  
Total Variability

scholarly journals Significance of Vowel Onset Point Information for Speaker Verification

2013 ◽  
pp. 18-24
Author(s):  
Gayadhar Pradhan ◽  
S. R. Mahadeva Prasanna
Keyword(s):  
Vocal Tract ◽  
Speaker Verification ◽  
Signal To Noise Ratio ◽  
High Signal ◽  
Vowel Onset Point ◽  
Speaker Information ◽  
Vowel Onset Points ◽  
Vocal Tract System ◽  
Reliable Testing ◽  
Speaker Modeling

This work demonstrates the significance of information about vowel onset points (VOPs) for speaker verification. VOP is defined as the instant at which the onset of vowel takes place. Vowel-like regions can be identified using VOPs. By production, vowel-like regions have impulse-like excitation and therefore impulse-response of vocal tract system is better manifested in them, and are relatively high signal to noise ratio (SNR) regions. Speaker information extracted from such regions may therefore be more discriminative. Due to this better speaker modeling and reliable testing may be possible using the features extracted from vowel-like regions. It is demonstrated in this work that for clean and matched conditions, relatively less number of frames from vowel-like regions are sufficient for speaker modeling and testing. Alternatively, for degraded and mismatched conditions, vowel-like regions provide better performance.

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