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| 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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