Speech-To-Text Converter System For Teaching And Learning Application

Lam, Ying Ying (2016) Speech-To-Text Converter System For Teaching And Learning Application. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Speech-To-Text (STT) is the recognition of spoken language and converts it into written text by using computer program. It is known as speech recognition (SR) or automatic speech recognition (ASR) as well. Undeniable, speech is our primary means in communication between people. Therefore, the conversion of our speech directly into written word can make our life easier and efficient. In our real life, education has become essential and important for everyone. Undoubtedly, the needs of the documentations, reports and even teaching materials in education are a must regardless students, teachers, or even lecturers. The documents preparation is a time consuming process as we need to collect, analyze and type the information. Hence, as the need of documentation in education, it caused to the problem of long preparation time for documents and teaching materials. Therefore, the main objective of this system is to help in handle of documentations like notes or report with the conversion of user‟s speech into text and then documents. This application system was developed by using Microsoft Visual Studio (VS) with C programming language. The audio processing was carried out within the system library in order to match user‟s speech with the language model and word databases. Then, by the matching of the speech and the word in database, the text word displayed out in graphical user interface (GUI) when it met the confidence level set programmatically.

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