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
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"
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
DOI :
10.1109/ICACCI.2015.7275832