Uncertainty propagation for speech recognition using RASTA features in highly nonstationary noisy environments

Sprachkommunikation 2008 - 8. ITG-Fachtagung

Volumn , Issue , 2008, Pages

  Astudillo, Ramón F ^a   Kolossa, Dorothea ^a   Orglmeister, Reinhold ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; FEATURE EXTRACTION; SPEECH COMMUNICATION; SPEECH ENHANCEMENT; UNCERTAINTY ANALYSIS;

AUTOMATIC SPEECH RECOGNITION SYSTEM; CEPSTRAL COEFFICIENTS; COMPUTATIONAL COSTS; MEASURE OF UNCERTAINTY; PERCEPTUAL LINEAR PREDICTIONS; RECOGNITION FEATURES; UNCERTAINTY INFORMATIONS; UNCERTAINTY PROPAGATION;

SPEECH RECOGNITION;

EID: 84872036128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. R.F. Astudillo, D. Kolossa and R. Orglmeister. Propagation of statistical information through non-linear feature extractions for robust speech recognition. In Proceedings MaxEnt07, pages 245-252, 2007.
2. J. Droppo, A. Acero, and L. Deng. Uncertainty decoding with splice for noise robust speech recognition. In Proceedings ICASSP02, vol. 1, pages 57-60, 2002.
3. D. Kolossa, A. Klimas, and R. Orglmeister. Separation and robust recognition of noisy, convolutive speech mixtures using time-frequency masking and missing data techniques. In Proceedings WASPAA05, pages 82-85, 2005.
4. Stouten, V. and Van Hamme, H. and Wambacq, P. Noise power spectral density estimation based on optimal smoothing and minimum statistics. In Proceedings ICASSP06, 2006.
5. H. Hermansky and N. Morgan. RASTA processing of speech. In IEEE Trans. on Speech and Audio Processing, 2(4), pages 578-589, October 1994.
6. S. Julier and J. Uhlmann. A general method for approximating nonlinear transformations of probability distributions. In Technical report, University of Oxford, UK, 1996.
7. Ephraim, Y. and Malah, D.. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator. In IEEE Trans. on Speech and Audio Processing, 33, pages 443-445, October 1985.
8. M. J. F. Gales. Model-Based technique for noise robust speech recognition. P.h.D. thesis, Gonville and Caius College (1995).
9. Martin, R. Noise power spectral density estimation based on optimal smoothing and minimum statistics. In IEEE Trans. on Speech and Audio Processing, 9(5), pages 504-512, 2001.
10. Cohen, I. Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging. In IEEE Trans. on Acoustics, Speech, and Signal Processing, 11(5), pages 466-475, 2003.