Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

The Rich Transcription 2005 Spring Meeting Recognition Evaluation

Author(s)

Jonathan G. Fiscus, Nicolas Radde, John S. Garofolo, A N. Le, Jerome G. Ajot, Christophe Laprun

Abstract

This paper presents the design and results of the Rich Transcription Spring 2005 (RT-05S) Meeting Recognition Evaluation. This evaluation is the third in a series of community-wide evaluations of language technologies in the meeting domain. For 2005, four evaluation tasks were supported. These included a speech-to-text (STT) transcription task and three diarization tasks: Who Spoke When, Speech Activity Detection, and Source Localization. The latter two were first-time experimental proof-of-concept tasks and were treated as dry runs. For the STT task, the lowest word error rate for the multiple distant microphone condition was 30.0% which represented an impressive 33% relative reduction from the best result obtained in the last such evaluation -- the Rich Transcription Spring 2004 Meeting Recognition Evaluation. For the diarization Who Spoke When task, the lowest diarization error rate was 18.56% which represented a 19% relative reduction from that of RT-04S.
Conference Title
Rich transcription 2005 Spring Meeting Recognition Evaluation

Keywords

Speech-To-Text, Diarization, Rich Transcription, Language Technology, Benchmark Evaluation, Meeting Recognition, Source Localization

Citation

Fiscus, J. , Radde, N. , Garofolo, J. , Le, A. , Ajot, J. and Laprun, C. (1970), The Rich Transcription 2005 Spring Meeting Recognition Evaluation, Rich transcription 2005 Spring Meeting Recognition Evaluation (Accessed November 8, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 26, 2016, Updated January 27, 2020