對語音增強的單聲道噪音消除演算法

Single-channel noise reduction algorithms for speech

陳俊宏(Chun-Hung Chen)

指導教授 ： 白明憲

國立交通大學/工學院/機械工程系所/碩士(2010年)

https://doi.org/10.6842/NCTU.2010.00965

摘要

This paper will propose an optimized speech enhancement algorithm aimed at
single-channel noise reduction (NR) ,and apply the NR algorithm in the speech
recognition. The optimization process is based on an objective function obtained in
a regression model and the simulated annealing (SA) algorithm that is well suited for
problems with many local optima. The NR algorithm, minimum mean-square error
noise reduction (MMSE-NR) algorithm, employs a time-recursive averaging (TRA)
method for noise estimation. Objective tests were undertaken to compare the
optimized MMSE-TRA-NR and MMSE-VAD-TRA-NR algorithm with several
conventional NR algorithms. White noise and car noise at signal-to-noise ratio
(SNR) 5 dB are used in these tests. As compared to conventional algorithms, the
optimized MMSE-TRA-NR and MMSE-VAD-TRA-NR algorithm proved effective
in enhancing noise-corrupted speech signals, without compromising the timbral
quality. The optimized MMSE-TRA-NR algorithm also can be used in automatic
speech recognition (ASR), the recognition rate will be enhance by the optimal
parameters of the MMSE-TRA-NR algorithms.

關鍵字

噪音消除

並列摘要

This paper will propose an optimized speech enhancement algorithm aimed at
single-channel noise reduction (NR) ,and apply the NR algorithm in the speech
recognition. The optimization process is based on an objective function obtained in
a regression model and the simulated annealing (SA) algorithm that is well suited for
problems with many local optima. The NR algorithm, minimum mean-square error
noise reduction (MMSE-NR) algorithm, employs a time-recursive averaging (TRA)
method for noise estimation. Objective tests were undertaken to compare the
optimized MMSE-TRA-NR and MMSE-VAD-TRA-NR algorithm with several
conventional NR algorithms. White noise and car noise at signal-to-noise ratio
(SNR) 5 dB are used in these tests. As compared to conventional algorithms, the
optimized MMSE-TRA-NR and MMSE-VAD-TRA-NR algorithm proved effective
in enhancing noise-corrupted speech signals, without compromising the timbral
quality. The optimized MMSE-TRA-NR algorithm also can be used in automatic
speech recognition (ASR), the recognition rate will be enhance by the optimal
parameters of the MMSE-TRA-NR algorithms.

並列關鍵字

noise reduction

參考文獻

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137-145 (1980).

[3] E. Hnsler and G. Schmidt, Acoustic Echo and Noise Control a Practical

[4] R. E. Crochiere, “A weighted overlap-add method of short-time Fourier