BOOK-CHAPTER

Speech Denoising Using Non-negative Matrix Factorization with Kullback-Leibler Divergence and Sparseness Constraints

Jimmy Ludeña-ChoezAscensión Gallardo-Antolín

Year: 2012 Communications in computer and information science Pages: 207-216   Publisher: Springer Science+Business Media
Keywords:
Non-negative matrix factorization Divergence (linguistics) Computer science Kullback–Leibler divergence Speech recognition Euclidean distance Matrix decomposition Noise reduction Speech enhancement Noise (video) A priori and a posteriori Matrix (chemical analysis) Pattern recognition (psychology) Factorization Artificial intelligence Algorithm

Metrics

10
Cited By
2.19
FWCI (Field Weighted Citation Impact)
13
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing

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