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Soft Reconstruction of Speech in the Presence of Noise and Packet Loss

机译:存在噪声和丢包情况下语音的软重建

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Exploiting the residual redundancy in a source coder output stream during the decoding process has been proven to be a bandwidth efficient way to combat the noisy channel degradations. In this paper, we consider soft reconstruction of speech spectrum, in GSM adaptive multirate and IS-641 vocoders, transmitted over a channel disturbed with noise and/or packet loss. Several schemes are presented which exploit different levels of intraframe and interframe residual redundancy for improved source decoding at the receiver. A packetization strategy is proposed which is matched to the presented error concealment units. For decoders that exploit the residual redundancy, extensive complexity has been a serious concern, especially as the quantizer bitrate increases . In this paper, a novel method is presented to construct reduced complexity algorithms. The proposed methodology is based on the classification of the signal domain and efficient approximation of the residual redundancy or the a priori transition probabilities. The presented schemes provide high quality error concealment solutions for code excited linear prediction (CELP) coders
机译:事实证明,在解码过程中利用源编码器输出流中的剩余冗余是一​​种有效的带宽方法,可应对噪声信道的恶化。在本文中,我们考虑在GSM自适应多速率和IS-641声码器中,在受噪声和/或丢包干扰的信道上传输语音频谱的软重建。提出了几种方案,它们利用帧内和帧间剩余冗余的不同级别来改善接收机处的源解码。提出了一种与提出的错误隐藏单元相匹配的打包策略。对于利用剩余冗余的解码器,广泛的复杂性已经成为严重的问题,特别是随着量化器比特率的增加。本文提出了一种构造复杂度降低算法的新方法。所提出的方法是基于信号域的分类和残余冗余或先验转移概率的有效近似。提出的方案为码激励线性预测(CELP)编码器提供了高质量的错误隐藏解决方案

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