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CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments

机译:CENSREC-1-C:嘈杂环境下语音活动检测的评估框架

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摘要

Voice activity detection (VAD) plays an important role in speech processing including speech recognition, speech enhancement, and speech coding under noisy environments. We have developed an evaluation framework for VAD under noisy environments, named CENSREC-1-C. We designed this framework for simple isolated utterance detection and hence, this framework consists of noisy continuous digit utterances and evaluation tools for VAD results. We define two evaluation measures, one for frame-level detection performance and the other for utterance-level detection performance. We also provide the evaluation results of a power-based VAD method as a reference.
机译:语音活动检测(VAD)在嘈杂环境下的语音处理(包括语音识别,语音增强和语音编码)中起着重要作用。我们已经开发了一个用于嘈杂环境下VAD的评估框架,名为CENSREC-1-C。我们为简单的隔离发声检测设计了此框架,因此,此框架由嘈杂的连续数字发声和用于VAD结果的评估工具组成。我们定义了两种评估措施,一种用于帧级检测性能,另一种用于语音级检测性能。我们还提供了基于功率的VAD方法的评估结果作为参考。

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