Title :
Optimization of perceptually-based ASR front-end [automatic speech recognition]
Author :
Hermansky, Hynek ; Junqua, Jean Claude
Author_Institution :
Speech Technol. Lab., Santa Barbara, CA, USA
Abstract :
Several recently proposed automatic speech recognition (ASR) front-ends are experimentally compared for speaker-dependent and cross-speaker ASR. The perceptually based linear predictive front-end yields the highest accuracies. By modifying its sensitivity to spectral peaks and to spectral tilt and by utilizing the speech dynamics the authors further improve, by about 10%, its error rate in speaker-independent ASR
Keywords :
speech recognition; automatic speech recognition; cross-speaker ASR; error rate; optimisation; perceptually based linear predictive front-end; sensitivity; speaker-dependent ASR; speaker-independent ASR; spectral peaks; spectral tilt; speech dynamics; Automatic speech recognition; Bandwidth; Cepstral analysis; Databases; Filters; Frequency; Laboratories; Predictive models; Psychology; Speech analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196553
