Title:
19_M-W-K-D-D_SPA2010_final
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Description: This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vector quantization) and GMM (Gaussian mixture model) approaches. For the research and experiments we created and exploited database, containing specially prepared short speech sequences.
- [sbc] - Wavelet Subband coding for speaker recog
- [speaker] - The matlab code that uses speaker identi
- [shuohuaren] - LPCC, MFCC parameter extraction, speaker
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19_M-W-K-D-D_SPA2010_final.pdf
