Title :
Speech pitch detection using short-time energy
Author :
Swee, Tan Tian ; Salleh, Sheikh Hussain Shaikh ; Jamaludin, Mohd Redzuan
Author_Institution :
Fac. of Biomed. & Health Sci. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
Research on pitch detection for speech has been done and still ongoing since there is not one algorithm found that perfectly detects the pitch. This paper will show the sum of square energy method in detecting the voiced/unvoiced speech since they have different level of energy. The threshold was found through experiments to find the unvoiced energy level from candidates with various words consist of unvoiced phonemes. Pitch detection algorithm was then implemented and the percentage of pitch detected in words was evaluated to test the accuracy of the algorithm proposed in this paper.
Keywords :
speech processing; short-time energy; speech pitch detection; sum of square energy method; Classification algorithms; Detection algorithms; Noise measurement; Speech; Speech recognition; Vibrations; Wavelet transforms; energy threshold; pitch detection; short-time energy; voiced detection;
Conference_Titel :
Computer and Communication Engineering (ICCCE), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-6233-9
DOI :
10.1109/ICCCE.2010.5556836