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Yusnita, M.A., Paulraj, M.P., Yaacob, S., Abu Bakar, S., Saidatul, A., Abdullah, A.N. (2011) Phoneme-Based or Isolated-Word Modeling Speech Recognition System? An Overview. 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications (CSPA), Penang, 4-6 March 2011, 304-309.
http://dx.doi.org/10.1109/CSPA.2011.5759892

has been cited by the following article:

  • TITLE: Real Time Speech Based Integrated Development Environment for C Program

    AUTHORS: Bharathi Bhagavathsingh, Kavitha Srinivasan, Mariappan Natrajan

    KEYWORDS: Automatic Speech Recognition, Integrated Development Environment, Hidden Markov Model, Mel Frequency Cepstral Coefficients

    JOURNAL NAME: Circuits and Systems, Vol.7 No.3, March 23, 2016

    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.