Speech Basis Matrix Using Noise Data and NMF-Based Speech Enhancement Scheme 


Vol. 40,  No. 4, pp. 619-627, Apr.  2015


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  Abstract

This paper presents a speech enhancement method using non-negative matrix factorization (NMF). In the training phase, each basis matrix of source signal is obtained from a proper database, and these basis matrices are utilized for the source separation. In this case, the performance of speech enhancement relies heavily on the basis matrix. The proposed method for which speech basis matrix is made a high reconstruction error for noise signal shows a better performance than the standard NMF which basis matrix is trained independently. For comparison, we propose another method, and evaluate one of previous method. In the experiment result, the performance is evaluated by perceptual evaluation speech quality and signal to distortion ratio, and the proposed method outperformed the other methods.

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  Cite this article

[IEEE Style]

K. Kwon, H. Y. Kim, N. S. Kim, "Speech Basis Matrix Using Noise Data and NMF-Based Speech Enhancement Scheme," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 619-627, 2015. DOI: .

[ACM Style]

Kisoo Kwon, Hyung Young Kim, and Nam Soo Kim. 2015. Speech Basis Matrix Using Noise Data and NMF-Based Speech Enhancement Scheme. The Journal of Korean Institute of Communications and Information Sciences, 40, 4, (2015), 619-627. DOI: .

[KICS Style]

Kisoo Kwon, Hyung Young Kim, Nam Soo Kim, "Speech Basis Matrix Using Noise Data and NMF-Based Speech Enhancement Scheme," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 619-627, 4. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880