Work

Advances in the CMU/InterACT Arabic GALE transcription system

Year: 2007

Type: conference-paper

Abstract: This paper describes the CMU/InterACT effort in developing an Arabic Automatic Speech Recognition (ASR) system for broadcast news and conversations within the GALE 2006 evaluation. Through the span of 9 month in preparation for this evaluation we improved our system by 40% relative compared to our legacy system. These improvements have been achieved by various steps, such as developing a vowelized system, combining this system with a non-vowelized one, harvesting transcripts of TV shows from the web for slightly supervised training of acoustic models, as well as language model adaptation, and finally fine-tuning the overall ASR system.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.3115/1614108.1614141

Authors: Mohamed Noamany, Thomas Schaaf, Tanja Schultz

Institution: Carnegie Mellon University

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2064203761

FWCI: 1.731

Cites: 14

Cited by: 11

Related to: 10