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METHOD AND APPARATUS USING HARMONIC MODEL-BASED FRONT END FOR ROBUST SPEECH RECOGNITION

机译:基于谐波模型的前端识别鲁棒语音的方法和装置

摘要

provides a system and method for reducing noise in a speech signal . The system and method decompose a noisy speech signal as a harmonic component and a residual component . Then, the harmonic component and residual component are combined to form a noise reduced value . In some embodiments , this sum is the harmonic component is a weighted sum multiplied by a scaling factor . In some embodiments , the noise reduction value is used for speech recognition .
机译:提供了一种降低语音信号噪声的系统和方法。该系统和方法将有噪声的语音信号分解为谐波分量和残余分量。然后,谐波分量和残余分量被组合以形成噪声减小值。在一些实施例中,该总和是谐波分量,是加权总和乘以比例因子。在一些实施例中,降噪值用于语音识别。

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