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A Framework for Speech Enhancement With Ad Hoc Microphone Arrays

机译:临时麦克风阵列增强语音的框架

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摘要

Speech enhancement is vital for improved listening practices. Ad hoc microphone arrays are promising assets for this purpose. Most well-established enhancement techniques with conventional arrays can be adapted into ad hoc scenarios. Despite recent efforts to introduce various ad hoc speech enhancement apparatus, a common framework for integration of conventional methods into this new scheme is still missing. This paper establishes such an abstraction based on inter and intra subarray speech coherencies. Along with measures for signal quality at the input of subarrays, a measure of coherency is proposed both for subarray selection in local enhancement approaches, and also for selecting a proper global reference when more than one subarray are used. Proposed methods within this framework are evaluated with regard to quantitative and qualitative measures, including array gains, the speech distortion ratio, the PESQ measure, and the STOI intelligibility measure. Major findings in this work are the observed changes in the superiority of different methods for certain conditions. When perceptual quality or intelligibility of the speech are the ultimate goals, there are turning points where the MVDR and the LCMV are superior to Wiener-based methods. Also, for certain scenarios, local approaches may be preferred to global ones.
机译:语音增强对于改善听力练习至关重要。为此,特设麦克风阵列是有前途的资产。可以将具有常规阵列的最完善的增强技术应用于临时方案。尽管最近努力引入各种自组织语音增强设备,但是仍然缺少用于将常规方法集成到该新方案中的通用框架。本文基于子阵列内和子阵列内语音一致性建立了这样的抽象。除了针对子阵列输入处的信号质量的度量外,还提出了一种一致性度量,既可以用于局部增强方法中的子阵列选择,也可以用于使用多个子阵列时选择适当的全局参考。该框架内建议的方法将在定量和定性指标方面进行评估,包括阵列增益,语音失真率,PESQ指标和STOI可懂度指标。这项工作的主要发现是在某些条件下观察到的不同方法优势的变化。当语音的感知质量或清晰度是最终目标时,在某些转折点上,MVDR和LCMV优于基于Wiener的方法。同样,对于某些情况,局部方法可能比全局方法更可取。

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