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2019 FlyAi 生活场景汉语语音识别

Python 2.77% HTML 4.60% Jupyter Notebook 92.64%

2019-flyai-life-scene-chinese-speech-recognition's Introduction

2019-FlyAI-Life-Scene-Chinese-Speech-Recognition

2019 FlyAi 生活场景汉语语音识别

语音识别系统的工作流程

①对语音信号进行分析和处理,除去冗余信息。

②提取影响语音识别的关键信息和表达语言含义的特征信息。

③紧扣特征信息,用最小单元识别字词。

④按照不同语言的各自语法,依照先后次序识别字词。

⑤把前后意思当作辅助识别条件,有利于分析和识别。

⑥按照语义分析,给关键信息划分段落,取出所识别出的字词并连接起来,同时根据语句意思调整句子构成。

⑦结合语义,仔细分析上下文的相互联系,对当前正在处理的语句进行适当修正。

一、DFCNN+Transformer

二、Seq2Seq:Transformer

三、SincNet

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