LREC 2006 - Proceedings sorted by papers

Title	Methodology of Lombard Speech Database Acquisition: Experiences with CLSD
Authors	H. Boril, T. Boril, P. Pollák
Abstract	In this paper, process of the Czech Lombard Speech Database (CLSD'05) acquisition is presented. Feature analyses have proven a strong appearance of Lombard effect in the database. In the small vocabulary recognition task, significant performance degradation was observed for the Lombard speech recorded in the database. Aim of this paper is to describe the hardware platform, scenarios and recording tool used for the acquisition of CLSD'05. During the database recording and processing, several difficulties were encountered. The most important question was how to adjust the level of speech feedback for the speaker. A method for minimization of the speech attenuation introduced to the speaker by headphones is proposed in this paper. Finally, contents and corpus of the database are presented to outline it's suitability for analysis and modeling of Lombard effect. The whole CLSD'05 database with a detailed documentation is now released for public use.
Keywords	Speech recognition, Lombard speech, Lombard speech database, speech feedback
Full paper	Methodology of Lombard Speech Database Acquisition: Experiences with CLSD

Title

Methodology of Lombard Speech Database Acquisition: Experiences with CLSD

Authors

H. Boril, T. Boril, P. Pollák

Abstract

In this paper, process of the Czech Lombard Speech Database (CLSD'05) acquisition is presented. Feature analyses have proven a strong appearance of Lombard effect in the database. In the small vocabulary recognition task, significant performance degradation was observed for the Lombard speech recorded in the database. Aim of this paper is to describe the hardware platform, scenarios and recording tool used for the acquisition of CLSD'05. During the database recording and processing, several difficulties were encountered. The most important question was how to adjust the level of speech feedback for the speaker. A method for minimization of the speech attenuation introduced to the speaker by headphones is proposed in this paper. Finally, contents and corpus of the database are presented to outline it's suitability for analysis and modeling of Lombard effect. The whole CLSD'05 database with a detailed documentation is now released for public use.

Keywords

Speech recognition, Lombard speech, Lombard speech database, speech feedback

Full paper

Methodology of Lombard Speech Database Acquisition: Experiences with CLSD