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WEIGHTED SEQUENTIAL VARIANCE ADAPTATION WITH PRIOR KNOWLEDGE FOR NOISE ROBUST SPEECH RECOGNITION
WEIGHTED SEQUENTIAL VARIANCE ADAPTATION WITH PRIOR KNOWLEDGE FOR NOISE ROBUST SPEECH RECOGNITION
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机译:具有先验知识的加权序列方差自适应,用于噪声鲁棒语音识别
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摘要
A method for adapting acoustic models used for automatic speech recognition is provided. The method includes estimating noise in a portion of a speech signal, determining a first estimated variance scaling vector using an estimated 2-order polynomial and the noise estimation, wherein the estimated 2-order polynomial represents a priori knowledge of a dependency of a variance scaling vector on noise, determining a second estimated variance scaling vector using statistics from prior portions of the speech signal, determining a variance scaling factor using the first estimated variance scaling vector and the second estimated variance scaling vector, and using the variance scaling factor to adapt an acoustic model.
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