基于最大后驗相位估計的多帶譜減語音增強(qiáng)算法
doi: 10.11999/JEIT161381 cstr: 32379.14.JEIT161381
基金項目:
十二五國家科技支撐計劃重大項目(2012BAH38F00)
Multi-band Spectral Subtraction of Speech Enhancement Based on Maximum Posteriori Phase Estimation
Funds:
The National Science and Technology Planning?Project (2012BAH38F00)
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摘要: 傳統(tǒng)語音增強(qiáng)算法中因為譜減法算法簡單易于實現(xiàn)而得到廣泛研究,譜減法的原理是將帶噪語音幅度與估計的噪聲幅度進(jìn)行相減,并疊加帶噪語音相位,進(jìn)而重構(gòu)增強(qiáng)語音譜。該方法在低信噪比下因為沒有進(jìn)行相位估計,會存在較大的估計誤差,并且因為對噪聲估計的不準(zhǔn)確,會產(chǎn)生 音樂噪聲?;谧V減法的缺點該文提出一種基于最大后驗相位估計的多帶譜減法,其中多帶譜減法可減少音樂噪聲的影響,最大后驗方法估計純凈語音相位,可以減少在低信噪比時的估計誤差。實驗結(jié)果表明該方法在低信噪比時取得了較好的增強(qiáng)效果。
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關(guān)鍵詞:
- 語音增強(qiáng) /
- 最大后驗相位估計 /
- 多帶譜減 /
- 低信噪比
Abstract: The spectral subtraction speech enhancement is extensively used due to its simplicity and easy to implement. The principle of this method is to subtract the estimated magnitude of the noise from the magnitude of the noisy signal, but the phase of the noisy signal is unchanged. This conventional method produces the estimating error because it exploits the noisy phase, especially in low SNR, and it produces musical noise because of the inaccuracy of the noise estimation. This paper proposes a multi-band spectral subtraction algorithm based on maximum posteriori phase estimation. Experimental results show that the proposed method can get better performance than the conventional method especially in low SNR. -
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