首页> 外文期刊>電子情報通信学会技術研究報告. 音声. Speech >PHONOBEST: a noise-robust automatic speech recognition system with phonetic estimation process based on 'expectation'
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PHONOBEST: a noise-robust automatic speech recognition system with phonetic estimation process based on 'expectation'

机译:Shabest:一种基于“期望”的语音估计过程的噪声鲁棒自动语音识别系统

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摘要

We propose a new method, PHONOBEST(PHOnetic kNOwledge Biased ESTimation) for speech recognition in the presence of non-stationary and unpredictable noise by extending PreFEst (Predominant-F0 Estimation Method) that was developed to estimate melody and bass lines from music signals. The proposed method does not need to know about the characteristics of noises in advance and does not even estimate them in its process. A small set of evaluations demonstrate the feasibility of the method by showing good performance even when the background noise is real and non-stationary noise and SNR is 10 dB.
机译:我们提出了一种新的方法,通过扩展的最优先级(主要-F0估计方法)在存在非静止和不可预测的噪声的情况下,对语音识别进行语音识别的新方法,这是由估计来自音乐信号的旋律和低音线的偏好(主要-F0估计方法)。 所提出的方法不需要提前了解噪声的特征,甚至没有在其过程中估计它们。 一小组评估表明了这种方法的可行性,即使在背景噪声是真实的并且非静止噪声和SNR是10dB的情况下,也可以通过显示出良好的性能。

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