语音信号处理与模式识别的结合——语音识别的机器学习方法

Combination of speech signal processing and pattern recognition一-Machine learning approach to speech recognition

文章介绍了语音识别的机器学习方法的原理和应用现状,该方法利用深度学习技术使声学特征和语言模型相结合,提高了语音识别的效率和准确性,推动了智能语音领域的发展。在此基础上,文章分析了语音识别的机器学习方法在大数据、物联网、云计算等领域的应用前景,以期为网络应用建设提供参考。

The article introduces the principle and current application status of machine learning methods for speech recognition.This method combines acoustic features with language models using deep learning technology,improves the efficiency and accuracy of speech recognition,and promotes the development of intelligent speech field.On this basis,the article analyzes the application prospects of machine learning methods for speech recognition in fields such as big data,the Internet of Things,and cloud computing,in order to provide reference for network application construction.