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