Signal/noise KLT based approach for enhancing speech degraded by colored noise

A signal/noise Karhunen-Loeve transform (KLT) based approach for enhancing speech degraded by colored noise is proposed. The noisy speech frames are classified into speech-dominated frames and noise-dominated frames. In the speech-dominated frames, the signal KLT matrix is used and in the noise domi...

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Bibliographic Details
Published in:IEEE transactions on speech and audio processing 2000-03, Vol.8 (2), p.159-167
Main Authors: Mittal, U., Phamdo, N.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Colored noise
Degradation
Distortion measurement
Exact sciences and technology
Frames
Information, signal and communications theory
Karhunen-Loeve transforms
Measurement standards
Narrowband
Noise
Noise measurement
Noise shaping
Performance evaluation
Signal processing
Spectra
Speech
Speech enhancement
Speech processing
Subspaces
Telecommunications and information theory
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Summary:A signal/noise Karhunen-Loeve transform (KLT) based approach for enhancing speech degraded by colored noise is proposed. The noisy speech frames are classified into speech-dominated frames and noise-dominated frames. In the speech-dominated frames, the signal KLT matrix is used and in the noise dominated frames, the noise KLT matrix is used. The approach does not require noise whitening and hence works well even with narrowband noise. A two-dimensional objective measure which captures both the speech distortion and the noise shaping characteristics of the algorithm is proposed. This measure indicates that the proposed method performs better noise shaping than a modified form of the signal subspace approach proposed by Ephraim and Van Trees (1995) and the standard spectral subtraction method. Informal listening tests show that the proposed algorithm does not suffer from the problem of residual musical noise and performs better noise masking than the signal subspace approach.
ISSN:1063-6676
2329-9290
1558-2353
2329-9304
DOI:10.1109/89.824700