The performance of a typical speaker verification system degrades significantly in reverberant environments. This degradation is partly due to the conventional feature extractio...
Sriram Ganapathy, Jason W. Pelecanos, Mohamed Kama...
It is well known that MFCC based speaker identification (SID) systems easily break down under mismatched training and test conditions. One such mismatch occurs when a SID system ...
The length of the room impulse response characterizing the acoustic path between speaker and microphone is significantly larger than the length of the analysis window used for fea...
We investigate several feature normalization and scaling approaches for use in speaker verification based on support vector machines. We are particularly interested in methods th...
Andreas Stolcke, Sachin S. Kajarekar, Luciana Ferr...
In conventional speaker recognition methods based on MFCC, phase information has been ignored. We proposed a method that integrated the phase information with MFCC on a speaker id...