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ICASSP
2011
IEEE

Parallel Transformation Network features for speaker recognition

7 years 11 months ago
Parallel Transformation Network features for speaker recognition
The use of speaker adaptation transforms as features for speaker recognition is an appealing alternative to conventional short-term cepstral features. In general, this kind of methods are language dependent and limited by the need of speech recognition in the client speakers language. In this paper, we generalize a recently proposed method –named Transformation Network features with SVM modeling– in order to become language independent and overcome the need for accurate speech recognition. This is accomplished by using a set of parallel acoustic models in several different languages to obtain a high-dimensional Parallel Transformation Network feature vector for speaker characterization.
Alberto Abad, Jordi Luque, Isabel Trancoso
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Alberto Abad, Jordi Luque, Isabel Trancoso
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