DocumentCode :
431195
Title :
Discriminative Training of Acoustic Models Applied to Domains with Unreliable Transcripts
Author :
Mathias, Lambert ; Yegnanarayanan, Girija ; Fritsch, Juergen
Author_Institution :
Center for Language & Speech Process., Johns Hopkins Univ., Baltimore, MD, USA
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
109
Lastpage :
112
Keywords :
learning (artificial intelligence); maximum likelihood estimation; medical signal processing; speech recognition; ASR systems; acoustic model discriminative training; automatic speech recognition systems; frame filtering; lattice-based discriminative training; maximum likelihood discriminative training; medical report transcription; medical speech data; speaker-adapted acoustic models; speech data training transcripts; unreliable transcript domains; word error rate reduction; Automatic speech recognition; Biomedical acoustics; Error analysis; Filtering; Maximum likelihood estimation; Natural languages; Parameter estimation; Robustness; Speech processing; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415062
Filename :
1415062
Link To Document :
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