Smooth soft mel-spectrographic masks based on blind sparse source separation

International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007

Volumn 1, Issue , 2007, Pages 605-608

  Kühne, Marco ^a   Togneri, Roberto ^a   Nordholm, Sven ^b  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b Western Australian Telecommunications Research Institute   (Australia)

Author keywords

Attenuation and delay estimation; Missing data; Speech recognition

Indexed keywords

BLIND SOURCE SEPARATION; FREQUENCY ESTIMATION;

ATTENUATION ESTIMATION; CONNECTED DIGITS; DELAY ESTIMATION; FRONT END; INSERTION ERRORS; MISSING DATA; SEPARATION METHODS; SPARSE SOURCES; TARGET SPEAKER; TIME FREQUENCY;

SPEECH RECOGNITION;

EID: 56149103788     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Ö. Yilmaz and S. Rickard, "Blind separation of speech mixtures via time-frequency masking," IEEE Trans. on Signal Process., vol. 52, no. 7, pp. 1830-1847, 2004.
2. S. Araki, H. Sawada, R. Mukai, and S. Makino, "Blind sparse source separation with spatially smoothed time-frequency masking," in IWAENC, Paris, France, 2006.
3. M. Kühne, R. Togneri, and S. Nordholm, "Mel-spectrographic mask estimation for missing data speech recognition using shorttime-fourier- transform ratio estimators," in ICASSP, Hawaii, 2007.
4. H. Viste and G. Evangelista, "An extension for source separation techniques avoiding beats," in DAFx, Hamburg, Germany, 2002.
5. A. C. Morris, J. Barker, and H. Bourlard, "From missing data to maybe useful data: Soft data modelling for noise robust asr," in WISP, Stratford-upon-Avon, UK, 2001.
6. J. C. Russ, The Image Processing Handbook, CRC & IEEE, 1999.
7. S. Young et al.. The HTK Book, Cambridge University, 2005.
8. G. J. McLachlan and K. E. Basford, Mixture models, Marcel Dekker, 1988.
9. S. Z. Li, Markov Random Field Modeling in Image Analysis, Springer, 2001.