基于大数据和深度学习的语音识别研究

近年来,现代信息技术进入高速发展的阶段,新的研究成果出现的同时也带来了新的难题和挑战,其中,对人工智能的研究应用到了人们生活和生产的各个方面,给社会生活带来了巨大的改变。在人工智能识别中的语音识别研究一直是重点研究项目,虽然基于人工神经网络引入声学理论的研究,让语音识别智能化的效率和准确率大大提高,但是随着对语音识别需求的增多,仍然出现了一些不足。因此需要基于大数据和深度学习,对语音识别进行改善和深入研究,本文通过探讨语言智能识别的现状,用基于大数据和深度学习的方法,改善语音识别中的语音提取,声音模拟和识别判断等,有效提高语音识别技术的发展。

Research on Speech Recognition Based on Big Data and Deep Learning

In recent years, modern information technology has entered a stage of rapid development. The emergence of new research results also brings new problems and challenges. Among them, the research on artificial intelligence has been applied to all aspects of people’s lives and production. Life has brought a huge change. Speech recognition research in artifi cial intelligence recognition has always been a key research project. Although the introduction of acoustic theory based on artifi cial neural networks has greatly improved the effi ciency and accuracy of intelligent speech recognition, as the demand for speech recognition increases, it is still there have been some shortcomings. Therefore, it is necessary to improve and in-depth research on speech recognition based on big data and deep learning. This article explores the current situation of intelligent language recognition and uses methods based on big data and deep learning to improve speech extraction, sound simulation and recognition judgment in speech recognition, and so on. Eff ectively improve the development of speech recognition technology.