Hybrid automatic speech recognition model for speech-to-text application in smartphones

R. Kusumah, Rudy Hartanto, Risanuri Hidayat
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Abstract

The development of speech recognition systems has been widely carried out in various fields. Its development is often used in smart device technology to facilitate users in giving instructions to a system through sound. Development of identical speech recognition with development to improve speech reading accuracy and fast response time processing. This paper aims to try an approach through hybrid methods by combining client-side and server-side services to benefit from both services. The smartphone device was chosen as a speech recognition computing device because it is a technological device that has become a necessity of everyday life in searching for information. In the paper we will propose a hybrid automatic speech recognition model, how the model works and the framework of the application.
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智能手机语音转文本应用的混合自动语音识别模型
语音识别系统的发展已广泛地应用于各个领域。它的发展常用于智能设备技术,方便用户通过声音向系统发出指令。开发与语音识别相同的开发,以提高语音读取精度和快速处理响应时间。本文旨在尝试一种混合方法,将客户端和服务器端服务结合起来,从而从两种服务中获益。之所以选择智能手机作为语音识别计算设备,是因为智能手机已经成为日常生活中搜索信息的必需品。在本文中,我们将提出一个混合自动语音识别模型,该模型的工作原理和应用框架。
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