DocumentCode :
3659676
Title :
Transcription of Telugu TV news using ASR
Author :
M. Ram Reddy;P. Laxminarayana;A. V. Ramana; Markandeya J L;J N V S Indu Bhaskar;B. Harish;S. Jagadheesh;E. Sumalatha
Author_Institution :
Research and Training Unit for Navigational Electronics, Osmania University, Hyderabad, India
fYear :
2015
Firstpage :
1542
Lastpage :
1545
Abstract :
Automatic Speech Recognition (ASR) is the process of converting the human speech which is in the form of acoustic waveform, into text. In this paper we discussed about building an automatic speech recognition system for Telugu news. A Telugu speech database is prepared along with the transcription, dictionary. Telugu speech files are collected from the Telugu TV news channels. Most of the selected sentences are recorded in studio environment and some of the speech files are having non predictable back ground noise. Wavsurfer is used to make the speech in to small sentences. CMU SPHINX tool kit is used to develop the ASR system. The recognized text file is finally displayed using Baraha software (demo version).
Keywords :
"Speech","Speech recognition","Hidden Markov models","Dictionaries","Acoustics","Training","Databases"
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
Type :
conf
DOI :
10.1109/ICACCI.2015.7275832
Filename :
7275832
Link To Document :
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