Title :
Speech recognizer for regional languages of Pakistan
Author :
Ali, Syed Abid ; Ashraf, Bushra ; Owais, Hafiza Amna ; Saifuddin, Sakina
Author_Institution :
Dept. of Comput. & Inf. Syst. Eng., N.E.D Univ. of Eng. & Technolgy, Pakistan
Abstract :
This paper introduces the speech recognizer developed in the regional languages of Pakistan: Urdu, Punjabi, Sindhi and Pashto for performing three different supervised operations (Turn on/Turn off Door, Turn on/Turn off Light, Turn on/Turn off Fan) on real time input speech sample for single speakertaken from developed corpus consists of 24 samples (6 samples for each language) in four different languages of Pakistan. The objective of this work is to develop the speech recognizer in the regional languages of Pakistan for those people who do not understand and speak languages other than their native language. Experimental results of the proposed speech recognizer demonstrate expected outcome under minor or no noise interference.
Keywords :
natural languages; speech recognition; Pakistan; Pashto; Punjabi; Sindhi; Urdu; corpus; native language; regional languages; speech recognizer; Feature extraction; Gaussian mixture model; Mel frequency cepstral coefficient; Speech; Speech processing; Speech recognition; Gaussian Mixture Model (GMM); Mel-Frequency Cepstral Coefficients (MFCC); Speech recognizer; VAD;
Conference_Titel :
Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014 International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-5131-4
DOI :
10.1109/iCREATE.2014.6828341
