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System and method to correct for packet loss using hidden markov models in ASR systems
System and method to correct for packet loss using hidden markov models in ASR systems
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机译:在ASR系统中使用隐马尔可夫模型校正分组丢失的系统和方法
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摘要
A system and method are presented for the correction of packet loss in audio in automatic speech recognition (ASR) systems. Packet loss correction, as presented herein, occurs at the recognition stage without modifying any of the acoustic models generated during training. The behavior of the ASR engine in the absence of packet loss is thus not altered. To accomplish this, the actual input signal may be rectified, the recognition scores may be normalized to account for signal errors, and a best-estimate method using information from previous frames and acoustic models may be used to replace the noisy signal.
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