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Pitch synchronous modulated lapped transform of the linear prediction residual of speech

机译:语音线性预测残差的基音同步调制重叠变换

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In most of the prevalent low-bit-rate speech coding schemes, lossy speech models are used, which makes the perfect reconstruction of speech impossible even at higher bit rates. In this paper, a lossless model of speech is presented. It performs a pitch synchronous modulated lapped transform (MLT) on the linear prediction residual of speech. The residual signal can be reconstructed without distortion from its transform when the quantization error is neglected. The pitch synchronous process exploits the quasi-periodicity of the speech. The MLT converts the 'periodic' signal into the frequency domain. Efficient coding similar to that used in the waveform interpolation speech coder can be achieved on the transform result. The combination of pitch synchronization and MLT provides a promising basic model for speech coding and processing.
机译:在大多数流行的低比特率语音编码方案中,都使用有损语音模型,这使得即使在较高比特率下也无法进行完美的语音重建。本文提出了一种无损语音模型。它对语音的线性预测残差执行音调同步调制重叠变换(MLT)。当量化误差被忽略时,残余信号可以被重建而不会由于其变换而失真。音调同步过程利用语音的准周期性。 MLT将“周期性”信号转换为频域。可以在变换结果上实现类似于波形内插语音编码器中使用的高效编码。音调同步和MLT的结合为语音编码和处理提供了有希望的基本模型。

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