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Two-Microphone Dereverberation for Automatic Speech Recognition of Polish

机译:两麦克风去混响技术用于波兰语的自动语音识别

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摘要

Reverberation is a common problem for many speech technologies, such as automatic speech recognition (ASR) systems. This paper investigates the novel combination of precedence, binaural and statistical independence cues for enhancing reverberant speech, prior to ASR, under these adverse acoustical conditions when two microphone signals are available. Results of the enhancement are evaluated in terms of relevant signal measures and accuracy for both English and Polish ASR tasks. These show inconsistencies between the signal and recognition measures, although in recognition the proposed method consistently outperforms all other combinations and the spectral-subtraction baseline.
机译:对于许多语音技术,例如自动语音识别(ASR)系统,混响是一个普遍的问题。本文研究了优先,双耳和统计独立性提示的新颖组合,可以在这些不利的声学条件下(当有两个麦克风信号时)在ASR之前增强混响语音。增强结果将根据英语和波兰语ASR任务的相关信号量度和准确性进行评估。这些显示了信号和识别措施之间的不一致,尽管在识别中,所提出的方法始终优于所有其他组合和频谱减法基线。

著录项

  • 来源
    《Archives of acoustics》 |2014年第3期|411-420|共10页
  • 作者单位

    School of Engineering and Computing Sciences, Durham University Durham, UK,Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology al. Mickiewicza 30, 30-059 Krakow, Poland;

    Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, Surrey GU2 7XH, UK;

    Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology al. Mickiewicza 30, 30-059 Krakow, Poland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    speech enhancement; reverberation; ASR; Polish;

    机译:语音增强;混响;ASR;抛光;

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