Title :
On speaker-independent, speaker-dependent, and speaker-adaptive speech recognition
Author :
Huang, X.D. ; Lee, K.F.
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
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%
Keywords :
speech recognition; DARPA Resource Management task; RM2 test set; SPHINX; adaptation sentences; error rate; performance; speaker-adaptive speech recognition; speaker-dependent speech recognition; speaker-independent speech recognition; training sentences; Computer science; Error analysis; Hidden Markov models; Loudspeakers; Parameter estimation; Resource management; Robustness; Speech recognition; Testing; Training data;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150478