Post noise smoother to improve low bit rate speech-coding performance

H. Tasaki, S. Takahashi
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引用次数: 5

Abstract

A new post-process called a post noise smoother (PNS) for the CELP decoder is proposed in order to improve low bit rate speech-coding performance under various background noise conditions. In the PNS, spectral amplitude smoothing and phase randomizing are performed on the decoded speech in order to obtain smoothed background noise. The decoded speech, the smoothed signal, and an automatically generated imitative noise signal are multiplied by adaptive gains and are summed up in the final output speech. These gains are computed from each frame's estimated ratio of background noise to signal. Evaluation test results show that the PNS significantly improves the subjective quality of a 4-kbps speech coder under various conditions of background noise.
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后置噪声平滑,提高低比特率语音编码性能
为了提高低比特率语音编码在各种背景噪声条件下的性能,提出了一种新的后置处理方法——后置噪声平滑(PNS)。在PNS中,对解码后的语音进行频谱幅度平滑和相位随机化,以获得平滑的背景噪声。解码后的语音、平滑后的信号和自动生成的模仿噪声信号乘以自适应增益,并在最终的输出语音中求和。这些增益是根据每帧的背景噪声与信号的估计比率计算出来的。评估测试结果表明,在各种背景噪声条件下,PNS显著提高了4kbps语音编码器的主观质量。
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Reverse water-filling in predictive encoding of speech Integration of speech enhancement and coding techniques The use of LSF-based phonetic classification in low-rate coder design Post noise smoother to improve low bit rate speech-coding performance A novel pitch-lag search method using adaptive weighting and median filtering
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