低速率语音编码中频谱参数的矢量预测量化

Y. Shoham
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引用次数: 38

摘要

提出了一种基于矢量预测量化的语音短时频谱包络编码方法。提出的VPQ方案利用预测码本从多个过去的频谱预测当前的频谱包络线。残差谱由残差码本编码。该系统使用采样版本的频谱包络在对数频谱域中运行。实验结果表明,预测增益范围为9 ~ 13 dB,平均对数谱距离为1.3 ~ 1.7 dB。非正式听力测试表明,用VPQ系统取代4.8 Kbits/s CELP编码器中的传统标量量化器可以将分配给LPC数据的速率从1.8 Kbits/s降低到1.0 Kbits/s,而感知质量没有明显差异。
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Vector predictive quantization of the spectral parameters for low rate speech coding
Vector Predictive Quantization (VPQ) is proposed for coding the short-term spectral envelope of speech. The proposed VPQ scheme predicts the current spectral envelope from several past spectra, using a predictor codebook. The residual spectrum is coded by a residual codebook. The system operates in the log-spectral domain using a sampled version of the spectral envelope. Experimental results indicate a prediction gain in the range of 9 to 13 dB and an average log-spectral distance of 1.3 to 1.7 dB. Informal listening tests suggest that replacing the conventional scalar quantizer in a 4.8 Kbits/s CELP coder by a VPQ system allows a reduction of the rate assigned to the LPC data from 1.8 Kbits/s to 1.0 Kbits/s without any obvious difference in the perceptual quality.
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