Abstract
This Automatic Speech Recognition (ASR) is the process which converts an acoustic signal captured by the microphone to written text. The motivation of the paper is to create a speech based Integrated Development Environment (IDE) for C program. This paper proposes a technique to facilitate the visually impaired people or the person with arm injuries with excellent programming skills that can code the C program through voice input. The proposed system accepts the C program as voice input and produces compiled C program as output. The user should utter each line of the C program through voice input. First the voice input is recognized as text. The recognized text will be converted into C program by using syntactic constructs of the C language. After conversion, C program will be fetched as input to the IDE. Furthermore, the IDE commands like open, save, close, compile, run are also given through voice input only. If any error occurs during the compilation process, the error is corrected through voice input only. The errors can be corrected by specifying the line number through voice input. Performance of the speech recognition system is analyzed by varying the vocabulary size as well as number of mixture components in HMM.
Highlights
Speech is one form of communication used by the humans for exchanging the information
Melfrequency cepstral coefficients (MFCC) features are extracted from the speech samples
Integrated Development Environment (IDE) Preprocessing In IDE pre processing module, the recognized text from speech testing will be converted into C program using the syntactic construct of C language
Summary
Speech is one form of communication used by the humans for exchanging the information. Speech recognition is the process of converting the speech signal. People with disabilities can benefit from speech recognition programs. For individuals that are deaf or hard of hearing, speech recognition software is used to automatically generate a closed captioning of conversations such as discussions in conference rooms, classroom lectures. Speech recognition is very useful for people who have difficulty using their hands, ranging from mild repetitive stress injuries to involved disabilities that preclude using conventional computer input devices. Our proposed system is developed to facilitate the visually impaired people or the person with arm injuries with excellent programming skills that can code the C program through voice input. The paper is organized into existing systems, proposed system, implementation and its performance.
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