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Local Speech Recognizer for Android

David Starič (2017) Local Speech Recognizer for Android. EngD thesis.

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    Despite big technological advancements, we are still bound to use keyboard and mouse as default computer peripheral. When using mobile devices, the scope of possible interactions with a device quickly grows. Many mobile device users would like to use voice commands for both simple (voice dial), as well as for demanding tasks such as web search. Usually, it takes a number of learning examples on which speech recognizer learns and improves. In this thesis, we are trying to avoid this necessity. The main goal of this thesis is the development of a mobile application that recognizes speech without a demand for a substantial number of learning examples and which will operate completely independently, without active internet connection. The method used for speech recognition system in this thesis is well-known Dynamic Time Warping method. Analysis, where we compared accuracy and speed of recognition, was carried out. Based on the results of the analysis we have successfully proposed a few steps to optimize the speed of our speech recognition application and preserve its accuracy.

    Item Type: Thesis (EngD thesis)
    Keywords: DTW, speech recognition, speech parameterization, MFCC
    Number of Pages: 40
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    viš. pred. dr. Robert Rozman277Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537401539)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3832
    Date Deposited: 17 Mar 2017 15:59
    Last Modified: 04 Apr 2017 09:41
    URI: http://eprints.fri.uni-lj.si/id/eprint/3832

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