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Objective Estimation of the Quality of Radical Noise Suppression Algorithms

机译:径向噪声抑制算法质量的客观估计

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摘要

There are compared six noise suppression algorithms with application of objective factors of the speech signal quality, and also with application of through quality factor of the system of automated speech recognition in form of speech recognition accuracy. It is shown that radical noise suppression algorithms are worse than traditional noise suppression algorithms by both restored speech quality and speech recognition accuracy due to essential signal distortion.
机译:将六种噪声抑制算法与语音信号质量的客观因素的应用以及语音识别精度形式的自动语音识别系统的直通质量因素的应用进行了比较。结果表明,由于必不可少的信号失真,从恢复语音质量和语音识别精度两方面来看,激进噪声抑制算法都比传统噪声抑制算法差。

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  • 来源
    《Radioelectronics and Communications Systems》 |2016年第11期|502-509|共8页
  • 作者

    A. Prodeus; V. S. Didkovskyi;

  • 作者单位

    National Technical University of Ukraine "Kyiv Polytechnic Institute ", Kyiv, Ukraine;

    National Technical University of Ukraine "Kyiv Polytechnic Institute ", Kyiv, Ukraine;

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  • 正文语种 eng
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