语音唤醒与命令识别算法的设计与实现

2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI:10.1109/ihmsc55436.2022.00009

Shaohui Chang, Xiaohui Wang, Tingzhang Fang, Lin Qian

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引用次数: 0

摘要

本文分析了语音识别的方法，重点介绍了声学模型、语言模型和基于这两个模型输出的解码算法。将隐马尔可夫模型应用于声学模型，建立输入语音样本声学特征的状态图。经测试，唤醒率在95%以上，误唤醒率在5%以下，基于语音唤醒模型的响应时间约为0.2s。

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Design and Implementation of Wake-on-Voice and Command Recognition Algorithm

This paper analyzes methods of speech recognition and lays an emphasize on acoustic model, language model and decoding algorithm based on the output of these two models. Hidden Markov Model is applied to acoustic model to build a state graph of acoustic features of input speech sample. After testing, the arousing rate is above 95%, the mis-arousing-rate is below 5% and response time of the wake-on-voice model is about 0.2s.

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2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

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