DocumentCode :
431366
Title :
Training Wideband Acoustic Models using Mixed-Bandwidth Training Data via Feature Bandwidth Extension
Author :
Seltzer, Michael L. ; Acero, Alex
Author_Institution :
Microsoft Res., Redmond, WA, USA
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
921
Lastpage :
924
Keywords :
acoustic analysis; acoustic signal processing; learning (artificial intelligence); speech recognition; feature bandwidth extension; mixed-bandwidth training data; narrowband speech; telephone bandwidth; telephone speech; wideband acoustic model training; wideband speech; wideband speech recognition systems; Automatic speech recognition; Bandwidth; Costs; Decoding; Narrowband; Speech processing; Speech recognition; Telephony; Training data; Wideband;
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.2005.1415265
Filename :
1415265
Link To Document :
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