on-the-fly 动态解码

最新推荐文章于 2025-07-29 08:30:00 发布
最新推荐文章于 2025-07-29 08:30:00 发布
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本文链接：https://blog.youkuaiyun.com/libeicuo8108/article/details/90315915
博客介绍了语音识别相关技术，包括静态解码的composition、determinization、minimization；语言模型重评估，可解决声学模型混淆度问题，用LSTM - DNN模型训练复杂语言模型；还提及动态解码的Look - Ahead Composition、On - the - fly Rescoring等内容。

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1.静态解码：

composition

determinization

minimization

2. 语言模型重评估：

文章《电话交谈语音识别中基于LSTM-DNN语言模型的重评估方法研究》

声学模型只能识别语音信号中音素、音节、或者词的相似程度，但不能捕捉到词与词之间的相关性。

语言模型则可以利用不同的上下文关系，或者其他语言学信息来预测每一个词可能发生的概率。可以解决声学模型混淆度的问题。

     语言模型 重评估通过用复杂的模型对一遍解码的N候选lattice进行重新打分，然后根据新的分数进行排序，选取最优输出识别结果。

复杂的语言模型可以使用LSTM-DNN模型训练，对历史信息具有良好的记忆能力。

3. 动态解码：

        Look-Ahead Composition，On-the-fly Rescoring

论文《Efficient WFST-Based One-Pass Decoding With On-The-Fly Hypothesis Rescoring in Extremely Large Vocabulary Continuous Speech Recognition》解读

 

on-the-fly composition 使用 sub-WFST避免

 

 

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