Title :
SATT: Semi-automatic transcription tool
Author :
Basu, Joyanta ; Bepari, Milton S. ; Nandi, Sukumar ; Khan, Sharifullah ; Roy, Ranjit
Author_Institution :
CDAC, Kolkata, India
Abstract :
After collection and proper storage of speech data, transcription is the next essential task for speech researchers and engineers. It´s also very well known to the speech community that speech data transcription is very laborious and time consuming job, though it´s the most important part of building Automatic Speech Recognition (ASR) systems. At this juncture, an automated transcription tool is necessary to resolve this problem. This paper presents a Semi-Automatic speech data Transcription Tool (SATT) developed mainly for resource creation purpose of ASR system building. The tool facilitates the manual checking and verification process of speech data transcription. Speech recognition engine is also included as a part of this tool. Detail functionalities with transcription remarks and working steps of the tool are elaborately discussed in this paper. SATT will speed up the transcription process, minimize manual errors, efforts and will create wealthy resources for statistical ASR work in Indian languages.
Keywords :
natural language processing; speech recognition; ASR systems; Indian languages; SATT; automatic speech recognition systems; semiautomatic speech data transcription tool; speech recognition engine; statistical ASR work; Automatic speech recognition; Engines; Noise; Noise measurement; Speech; Training; noise tags; speech recognition; transcription remarks; transcription tool;
Conference_Titel :
Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013 International Conference
Conference_Location :
Gurgaon
DOI :
10.1109/ICSDA.2013.6709903