DocumentCode :
1722197
Title :
Automatic marking of Punjabi syllables boundaries in a sound file
Author :
Kaur, Amanpreet ; Singh, Parminder ; Rattan, Dhavleesh
Author_Institution :
Dept. of Comput. Sci. & Eng., RIMT-IET, Mandi Gobindgarh, India
Volume :
3
fYear :
2010
Abstract :
Automatic Speech segmentation is one of the foremost important field for controlling the simulation of speech without intervening of human being. Segmenting the continuous speech signal according to the phonetic transcription is a fundamental task in any voice activated system. Manual segmentation is tedious, time consuming and error prone. Automatic segmentation is not faultless, but it is inherently consistent and results are reproducible. In spite of the endless efforts made in this field, there is no Speech Segmentation System in the market for Punjabi on large vocabulary, though speaker independent systems are available for the languages like English, Tamil. It is a well known fact Syllable based systems perform better than phoneme or word based systems. In our work, we are presenting an effective method for segmentation of Punjabi Speech into syllable like Basic units for ASR systems.
Keywords :
natural language processing; speech recognition; Punjabi syllables boundary automatic marking; automatic speech recognition; automatic speech segmentation; phonetic transcription; sound file; speech segmentation system; voice activated system; Acoustics; Labeling; Speech; Speech processing; Speech recognition; Vocabulary; Segmentation; Short term energy; Syllables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555799
Filename :
5555799
Link To Document :
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