Compressed-domain automatic speaker recognition is based on the analysis of the compressed parameters of speech coders. The objective is to perform low-complexity on-line speaker ...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
We have already proposed a new feature extraction method based on higher-order local auto-correlation and Fisher weight map (FWM) at Interspeech2006. This paper shows effectivenes...
The effect of additive noise in a speaker recognition system is well known to be a crucial problem in real life applications. In a speaker recognition system, if the test utteranc...
This paper describes the participation of the LIA in the Human Assisted Speaker Recognition (HASR) task of the NIST-SRE 2010 evaluation campaign and its extension to a larger numb...
Juliette Kahn, Nicolas Audibert, Solange Rossato, ...
Linear regression based speaker adaptation approaches can improve Automatic Speech Recognition (ASR) accuracy significantly for a target speaker. However, when the available adapt...