Voice recognition preprocessing voice signal / Yeoh Ling Tze

Yeoh, Ling Tze (2004) Voice recognition preprocessing voice signal / Yeoh Ling Tze. Undergraduates thesis, University of Malaya.

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    Voice recognition is the process by which a computer is able to map an acoustic signal (i.e. spoken words) to the textual representation of those words. Voice recognition is also known as Speech Recognition, Speech Understanding System or Automatic Speech Recognition (ASR). Voice recognition techniques have been in the existence for approximately 30 years and many are currently achieving an accuracy rate of approximately 99 percent for isolated word recognition. Voice recognition work now run under the gamut from practical 24 hour a day applications of isolated word recognizers in industrial or governmental operations, to research and development work in versatile recognizers of complex spoken sentences. The number of commercial devices being sold is apparently expanding exponentially, public awareness is rising and the prospects for future impact on human interaction with machines arc very bright. Voice recognition is a part of a broader speech processing technology that also involve in computer identification and verification of speakers, computer synthesis of speech and production of stored spoken responses, computer analysis of the physical and psychological state of speaker, efficient transmission of spoken conversations, detection of speech pathologist and aids to the handicapped. Isolated word recognition has many applications in the areas of voice commanded machine operation, voice dialing, command and control systems, security control and hands free cellular telephone dialing.

    Item Type: Thesis ( Undergraduates)
    Additional Information: Academic Exercise (Bachelor’s Degree) - Faculty of Computer Science & Information Technology, 2003/2004.
    Uncontrolled Keywords: Voice recognition; Speech Understanding System; Automatic Speech Recognition (ASR); Command and control systems
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Computer Science & Information Technology
    Depositing User: Mr Mohd Zaimi Izwan Kamarunsaman
    Date Deposited: 24 May 2021 01:45
    Last Modified: 24 May 2021 01:45
    URI: http://studentsrepo.um.edu.my/id/eprint/10197

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