We have investigated the use of a pitch adaptive spectral representation on large vocabulary speech recognition, in conjunction with speaker normalisation techniques. We have compared the effect of a smoothed spectrogram to the pitch adaptive spectral analysis by decoupling these two components of STRAIGHT. Experiments performed on a large vocabulary meeting speech recognition task highlight the importance of combining a pitch adaptive spectral representation with a conventional fixed window spectral analysis. We found evidence that STRAIGHT pitch adaptive features are more speaker independent than conventional MFCCs without pitch adaptation, thus they also provide better performances when combined using feature combination techniques such as Heteroscedastic Linear Discriminant Analysis.
|Title of host publication||INTERSPEECH 2008|
|Subtitle of host publication||9th Annual Conference of the International Speech Communication Association|
|Publication status||Published - 2008|
|Event||INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, Australia|
Duration: 22 Sep 2008 → 26 Sep 2008
|Conference||INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association|
|Period||22/09/08 → 26/09/08|