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The spectral effects of vocal tract length (VTL) changes are one reason of why the recognition rate of today's speaker-independent automatic speech recognition (ASR) systems is considerably lower than the one of speaker-dependent systems. By using certain types of filter-banks these effects can be described by a translation in subband-index space. In this paper, nonlinear translation-invariant transforms that orig-inally have been proposed in the field of pattern recognition are investi-gated for their applicability in speaker-independent ASR tasks. It will be shown that the combination of different types of such transforms leads to features that are more robust against VTL changes than the standard Mel-frequency cepstral coefficients and that almost yield the performance of vocal tract length normalization without any adaption to individual speakers.
|Number of pages
|Published - 01.06.2009
| NOLISP 2009 : Workshop on Non-Linear Speech Processing - Vic (Barcelona), Spain
Duration: 25.06.2009 → 27.06.2009
|NOLISP 2009 : Workshop on Non-Linear Speech Processing
|25.06.09 → 27.06.09
FingerprintDive into the research topics of 'Nonlinear translation-invariant transformations for speaker-independent speech recognition'. Together they form a unique fingerprint.
- 1 Finished
01.01.07 → 31.12.11
Project: DFG Projects › DFG Individual Projects