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

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.