Speech and Audio Processing in Adverse Environments

Speech and Audio Processing in Adverse Environments
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恶劣环境中的语音和音频处理

DOI:
10.1007/978-3-540-70602-1
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发表时间:
2008
期刊:
Autom.
影响因子:
--
通讯作者:
G. Schmidt
G. Schmidt
中科院分区:
--
文献类型:
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作者:
Eberhard Hnsler;G. Schmidt

文献摘要

被引文献

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这本书反映了在语音和音频信号处理的重要领域的艺术状态。它介绍了迄今为止错过的主题和该领域的最新发现。领先的国际专家报告他们的工作领域和他们的新成果。多麦克风系统、降噪的具体方法以及语音信号和语音处理系统的评估占据了相当大的空间。多麦克风系统包括麦克风的自动校准、声源的定位和源分离程序。还涵盖了最近的方法,自适应回声和噪声抑制的问题。一种新的解决方案允许设计滤波器组,其表现出根据Bark标度和特别短的延迟时间间隔的频带。此外,发动机降噪的方法和建议,提高信号/噪声比的基础上,部分信号重建或使用噪声参考报告。许多贡献涉及语音质量。除了质量评估的基本考虑之外,还描述了电话语音带宽扩展的具体方法。减少音频信号的混响的程序可以帮助提高语音清晰度和语音识别率。此外,报告了用于语音和音频信号处理中的特定应用的解决方案,包括例如,增强汽车中的音频信号再现以及免提系统和助听器的自动评估。
The book reflects the state of the art in important areas of speech and audio signal processing. It presents topics which are missed so far and most recent findings in the field. Leading international experts report on their field of work and their new results. Considerable amount of space is covered by multi-microphone systems, specific approaches for noise reduction, and evaluations of speech signals and speech processing systems. Multi-microphone systems include automatic calibration of microphones, localisation of sound sources, and source separation procedures. Also covered are recent approaches to the problem of adaptive echo and noise suppression. A novel solution allows the design of filter banks exhibiting bands spaced according to the Bark scale und especially short delay times. Furthermore, a method for engine noise reduction and proposals for improving the signal/noise ratio based on partial signal reconstruction or using a noise reference are reported. A number of contributions deal with speech quality. Besides basic considerations for quality evaluation specific methods for bandwidth extension of telephone speech are described. Procedures to reduce the reverberation of audio signals can help to increase speech intelligibility and speech recognition rates. In addition, solutions for specific applications in speech and audio signal processing are reported including, e.g., the enhancement of audio signal reproduction in automobiles and the automatic evaluation of hands-free systems and hearing aids.