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Quantization noise spectral shaping in instantaneous coding of spectrally unbalanced speech signals

机译:频谱不平衡语音信号的即时编码中的量化噪声频谱整形

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摘要

In the context of centralized spectral equalization of speech in a telephone network, the signal is spectrally strongly unbalanced at the output of the equalizer, before being quantized, which results in low SNR at the reception. We propose and evaluate experimentally two methods to reshape the quantization noise, in order to make it less perceptible in reception. The first one consists in finding the most probable quantization sequence, given the desired noise spectrum. In the second one, the filtered quantization error is added to the signal to be quantized.
机译:在电话网络中语音的集中频谱均衡的情况下,信号在被量化之前在均衡器的输出端在频谱上很不均衡,这导致接收时的SNR低。我们提出并实验评估了两种方法来重塑量化噪声,以使其在接收中不易察觉。第一个在于给定所需的噪声频谱,找到最可能的量化序列。在第二个中,将滤波后的量化误差加到要量化的信号上。

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