MVDR based feature extraction for robust speech recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2001, Pages 309-312

  Dharanipragada, Satya ^a   Rao, Bhaskar D ^b  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE TRAJECTORY SMOOTHING TECHNIQUE; MINIMUM VARIANCE DISTORTIONLESS RESPONSE; ROBUST SPEECH RECOGNITION;

CORRELATION METHODS; ESTIMATION; FEATURE EXTRACTION; MATHEMATICAL MODELS; SPECTRUM ANALYSIS;

SPEECH RECOGNITION;

EID: 0034842452     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.940829     Document Type: Article

References (8)

1. Discrete all-pole modeling
2. All-pole modeling of speech based on the minimum variance distortionless response spectrum
3. The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short modified periodograms
4. RASTA processing of speech
5. Robust methods for context-dependent features and models in a continuous speech recognizer