Noise suppression based on wavelet packet decomposition and quantile noise estimation for robust automatic speech recognition

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

Volumn 1, Issue , 2006, Pages

  Rank, Erhard ^a   Van Pham, Tuan ^a   Kubin, Gernot ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; PATTERN RECOGNITION SYSTEMS; SPEECH RECOGNITION; STATISTICAL METHODS; WAVELET ANALYSIS;

AUTOMATIC SPEECH RECOGNITION; DENOISING ALGORITHMS; NOISE ESTIMATION; SPEECH RECOGNITION SYSTEMS; WAVELET PACKET DECOMPOSITION;

NOISE ABATEMENT;

EID: 33947659524     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. T. V. Pham and G. Kubin, "WPD-based noise suppression using nonlinearly weighted threshold quantite estimation and optimal wavelet shrinking," in Proc. Interspeech, Lisboa, Portugal, Sept. 2005, pp. 2090-2093.
2. D. L. Donoho, "De-noising by soft-thresholding," IEEE Trans. Inform. Theory, vol. 41, no. 3, pp. 613-627, 1995.
3. M. Jansen, Noise reduction by wavelet thresholding, Springer, USA, 2001.
4. B. Kotnik, Robust speech parameterization based on joint wavelet packet decomposition and autoregressive modeling, Ph.D. thesis, Univ. of Maribor, Maribor, Slovenia, Sept. 2004.
5. ETSI ES 201 108 V1.1.1 Speech Processing, Transmission and Quality Aspects (STQ); Distributed speech recognition; Frontend feature extraction algorithm; Compression algorithms.
6. ETSI ES 202 050 V1.1.3 Speech Processing, Transmission and Quality Aspects (STQ); Distributed speech recognition; Advanced front-end feature extraction algorithm; Compression algorithms.
7. "The Hidden Markov Model Toolkit (HTK)," http://htk.eng.cam.ac. uk, visited: Jan. 2006.
8. "Loquendo ASR brochure," http://www.loquendo.com/en/brochure/ ASR.pdf, visited: Jan. 2006.
9. Roberto Gemello, Franco Mana, and Renato De Mori, "A modified Ephraim-Malah noise suppression rule for automatic speech recognition," in Proc. Int. Conf. Acoust. Speech Sign. Process., Montreal, Canada, 2004, vol. 1, pp. 957-960.