DocumentCode
431384
Title
Whispery Speech Recognition using Adapted Articulatory Features
Author
Jou, Szu-Chen ; Schultz, Tanja ; Waibel, Alex
Author_Institution
Interactive Syst. Labs., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
1
fYear
2005
fDate
March 18-23, 2005
Firstpage
1009
Lastpage
1012
Keywords
adaptive signal detection; error statistics; feature extraction; hidden Markov models; learning (artificial intelligence); low-pass filters; maximum likelihood decoding; maximum likelihood detection; maximum likelihood estimation; regression analysis; signal sampling; speech recognition; adapted articulatory features; articulatory feature detection; decoding; downsampling re-training; feature-space adaptation; linear multivariate regression; maximum likelihood linear regression; senone-based HMM models; sigmoidal low-pass filter; stream architecture; throat microphone; whispery speech recognition; word error rate; Acoustic signal detection; Automatic speech recognition; Computer vision; Detectors; Hidden Markov models; Interactive systems; Microphones; Robustness; Speech processing; Speech recognition;
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.2005.1415287
Filename
1415287
Link To Document