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Joint signal and model based noise matching noise robustness method for automatic speech recognition
Joint signal and model based noise matching noise robustness method for automatic speech recognition
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机译:基于联合信号和模型的噪声匹配噪声鲁棒性自动语音识别方法
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摘要
A noise robustness method operates jointly in a signal domain and a model domain. For example, energy is added in the signal domain for frequency bands where an actual noise level of an incoming signal is lower than a noise level used to train models, thus obtaining a compensated signal. Also, energy is added in the model domain for frequency bands where noise level of the incoming signal or the compensated signal is higher than the noise level used to train the models. Moreover, energy is never removed, thereby avoiding problems of higher sensitivity of energy removal to estimation errors.
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