On speaker-independent, speaker-dependent, and speaker-adaptive speech recognition

Authors:
X. D. Huang;K. F. Lee
Affiliations:
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA;Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Venue:
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Year:
1991

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Abstract

The DARPA Resource Management task is used as the domain to investigate the performance of speaker-independent, speaker-dependent, and speaker-adaptive speech recognition. The authors already have a state-of-the-art speaker-independent speech recognition system, SPHINX. The error rate for RM2 test set is 4.3%. They extended SPHINX to speaker-dependent speech recognition. The error rate is reduced to 1.4-2.6% with 600-2400 training sentences for each speaker, which demonstrated a substantial difference between speaker-dependent and -independent systems. Based on speaker-independent models, a study was made of speaker-adaptive speech recognition. With 40 adaptation sentences for each speaker, the error rate can be reduced from 4.3% to 3.1%.