Title

An efficient mechanism for searching arabic audio libraries

Document Type

Conference Proceeding

Source of Publication

Proceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004

Publication Date

12-1-2004

Abstract

In this paper we propose an approach that allows the user to query an Arabic audio library using voice. We use a combination of class-based language models and robust interpretation to recognize and identify the spoken keywords. The mechanism uses a Large Vocabulary Recognition System (LVCSR) to implement the functionality of an Arabic authority control system. A series of experiments were performed to assess the accuracy and the robustness of the proposed approach: restricted grammar recognition with semantic interpretation, class-based statistical language models (CB_SLM) with robust interpretation, and generalized CB-SLM. The results have shown that the combination of CB-SLM and robust interpretation provides better accuracy and robustness than the traditional grammar-based parsing. © 2004 IEEE.

ISBN

0769522173

Publisher

IEEE

First Page

579

Last Page

582

Disciplines

Computer Sciences

Keywords

Bibliographic information; Class-based language models; n-gram language models (LM); Sematic classes; Control systems; Database systems; Indexing (of information); Libraries; Program interpreters; Query languages; Semantics; Vocabulary control; Radio studios

Scopus ID

20844445131

Indexed in Scopus

yes

Open Access

no

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