A spectral conversion approach to feature denoising and speech enhancement

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 2057-2060

  Mouchtaris, A ^a,b   Van Der Spiegel, J ^b   Mueller, P ^c   Tsakalides, P ^a  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c Corticon Inc ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; KALMAN FILTERING; PROBLEM SOLVING; SIGNAL TO NOISE RATIO; SPEECH ANALYSIS;

FEATURE DENOISING; SPECTRAL CONVERSION APPROACH; SPEECH ENHANCEMENT;

FEATURE EXTRACTION;

EID: 33745206504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. A. Mouchtaris, J. Van der Spiegel, and P. Mueller, "Non-parallel training for voice conversion by maximum likelihood constrained adaptation," in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), (Montreal, Canada), pp. 1-4, May 2004.
3. A. Mouchtaris, J. Van der Spiegel, and P. Mueller, "A spectral conversion approach to the iterative Wiener filter for speech enhancement," in IEEE Proc. Int. Conf. Multimedia and Expo (ICME), (Taipei, Taiwan), pp. 1971-1974, June 2004.
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8. A. Kain, High Resolution Voice Transformation. PhD thesis, OGI School of Science and Engineering at Oregon Health and Science University, October 2001.
9. http://www.cslu.ogi.edu/corpora/voices/.
10. Y. Ephraim and D. Mallah, "Speech enhancement using a minimum mean-square error log-spectral amplitude estimator," IEEE Trans. Acoust., Speech, and Signal Process., vol. ASSP-33, pp. 443-445, April 1985.