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Design and implementation of Vector Quantizer for a 600 bps cocoder Based on MELP

机译:基于MELP的600 bps协编码器矢量量化器的设计与实现

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This paper describes a vector quantization of a 600 bps speech coding parameters based on the Mixed Excitation Linear Prediction (MELP) model, which was accepted as a standard in communication on narrow-band HF channels. The MELP speech coders are robust in difficult background noise environments and intended mostly for military communications. To reduce the bit rate, a joint vector quantization of multi-frame is developed that takes advantage of inherent inter-frame redundancy of the MELP parameters. By grouping parameters of 4 frames into a multi-frame and using vector quantization, bit rate is decreased 4 times and output speech is still intelligible.
机译:本文介绍了基于混合激励线性预测(MELP)模型的600 bps语音编码参数的矢量量化,该模型已被接受为窄带HF信道上的通信标准。 MELP语音编码器在困难的背景噪声环境中非常强大,主要用于军事通信。为了降低比特率,开发了多帧联合矢量量化,该联合矢量量化利用了MELP参数固有的帧间冗余。通过将4帧的参数分组为一个多帧并使用矢量量化,比特率降低了4倍,并且输出语音仍然清晰可辨。

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