| Paper: | SP-L6.1 | ||
| Session: | Feature Analysis for Speech Recognition | ||
| Time: | Thursday, May 20, 13:00 - 13:20 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Speech Analysis | ||
| Title: | NON-UNIFORM SPEAKER NORMALIZATION USING AFFINE-TRANSFORMATION | ||
| Authors: | Bharath Kumar SV; General Electric - Global Research | ||
| Umesh S.; Indian Institute of Technology | |||
| Rohit Sinha; Indian Institute of Technology | |||
| Abstract: | In this paper, we propose a mathematical model to describe therelation between the formant frequencies of speakers and show that with the proposed affine model, speaker differences separate out as translation factors when a ''mel-like'' warping is performed. Using speech data we estimate the parameters of this warping function and show that it is close to the usual mel-formula. This model is motivated by Rohit et al.'s [1] shift-based non-uniform speaker-normalization method, which provides improvement over the conventional maximum-likelihood based speaker normalization methods. We therefore provide a unified framework that relates the relationship between formants of speakers and method of removing speakers difference (which involves mel-warping) in a neat mathematical framework which is substantiated by our recognition experiments. | ||
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