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Speech synthesis based on AMR-WB algorithm

机译:基于AMR-WB算法的语音合成

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摘要

The linear predictive coding synthesis (LPC) parameters are extracted by using 23.05 k bit/s mode of adaptive multi-Rate wideband speech coding technology (AMR-WB). The synthesis results show that the speech synthesized are similar to the sample speech in time and frequency domain, in addition, the synthesized speech sound like sample speech well. The speech synthesized can well retrieve the characteristics of the sample, and gain good synthesis results. The algorithm meets the requirements of speech synthesis system which needs lower decoder complexity. So it is feasible that the AMR-WB algorithm were applied to linear predictive coding speech synthesis to synthesize the speech.
机译:通过使用23.05k位/ S的自适应多速率宽带语音编码技术(AMR-WB)来提取线性预测编码合成(LPC)参数。合成结果表明,合成的语音类似于时间和频域的样本语音,此外,合成的语音听起来像样品语音良好。合成的语音可以很好地检索样品的特征,并获得良好的合成结果。该算法符合语音合成系统的要求,该系统需要较低的解码器复杂性。因此,可行的是,AMR-WB算法应用于线性预测编码语音合成以合成语音。

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