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A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition

Author
SELTZER, Michael L1 ; RAJ, Bhiksha2 ; STERN, Richard M3
[1] Microsoft Research, Redmond, WA 98052, United States
[2] Mitsubishi Electric Research Labs, Cambridge, MA 02139, United States
[3] Department of Electrical and Computer Engineering and School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, United States
Issue title
Special issue on the recognition and organization of real-world sound
Author (monograph)
ELLIS, D. P. W (Editor)1 ; COOKE, M. P (Editor)2
[1] Department of Electrical Engineering, Columbia University, 500 W. 120th St. room 1312 mc 4712, New York, NY 10027, United States
[2] Department of Computer Science, University of Sheffield, Regent Court, 211 Portabello St., Sheffield S14DP, United Kingdom
Source

Speech communication. 2004, Vol 43, Num 4, pp 379-393, 15 p ; ref : 26 ref

CODEN
SCOMDH
ISSN
0167-6393
Scientific domain
Computer science; Telecommunications
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Classification Extraction caractéristique Méthode Bayes Reconnaissance parole Représentation signal Réduction bruit
Keyword (en)
Classification Feature extraction Bayes methods Speech recognition Signal representation Noise reduction
Keyword (es)
Clasificación Reconocimiento voz Reducción ruido
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05B Speech processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16168192

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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