Title :
Application of speech conversion to alaryngeal speech enhancement
Author :
Bi, Ning ; Qi, Yingyong
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
fDate :
3/1/1997 12:00:00 AM
Abstract :
Two existing speech conversion algorithms were modified and used to enhance alaryngeal speech. The modifications were aimed at reducing the spectral distortion (bandwidth increase) in a vector-quantization (VQ) based system and the spectral discontinuity in a linear multivariate regression (LMR) based system. Spectral distortion was compensated for by formant enhancement using the chirp z-transform and cepstral weighting. Spectral discontinuity was alleviated using overlapping clusters during the construction of the conversion mapping function. The modified VQ and LMR algorithms were used to enhance alaryngeal speech. The results of perceptual evaluation indicated that listeners generally preferred to listen to the alaryngeal speech samples enhanced by the modified conversions over original samples
Keywords :
Z transforms; cepstral analysis; speech coding; speech enhancement; speech intelligibility; speech processing; speech synthesis; vector quantisation; LMR algorithms; VQ based system; alaryngeal speech enhancement; alaryngeal speech samples; cepstral weighting; chirp z-transform; conversion mapping function; formant enhancement; linear multivariate regression based system; modified conversions; overlapping clusters; perceptual evaluation; spectral discontinuity; spectral distortion reduction; speech analysis; speech conversion algorithms; speech synthesis; vector quantization; Bandwidth; Land mobile radio; Larynx; Linear predictive coding; Multivariate regression; Noise reduction; Speech analysis; Speech enhancement; Speech synthesis; Vector quantization;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
