OLAC Record oai:catalogue.elra.info:ELRA-E0004

Metadata
Title:		TC-STAR 2005 Evaluation Package - ASR Mandarin Chinese
Access Rights:		Rights available for: evaluationUse
Date Available (W3CDTF):		2006-03-22
Date Issued (W3CDTF):		2006-03-22
Date Modified (W3CDTF):		2011-01-06
Description:		TC-STAR is a European integrated project focusing on Speech-to-Speech Translation (SST). To encourage significant breakthrough in all SST technologies, annual open competitive evaluations are organized. Automatic Speech Recognition (ASR), Spoken Language Translation (SLT) and Text-To-Speech (TTS) are evaluated independently and within an end-to-end system.The first TC-STAR evaluation campaign took place in March 2005. Two core technologies were evaluated during the campaign:• Automatic Speech Recognition (ASR),• Spoken Language Translation (SLT).Each evaluation package includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the first evaluation campaign. The aim of these evaluation packages is to enable external players to evaluate their own system and compare their results with those obtained during the campaign itself.The speech databases made within the TC-STAR project were validated by SPEX, in the Netherlands, to assess their compliance with the TC-STAR format and content specifications.This package includes the material used for the TC-STAR 2005 Automatic Speech Recognition (ASR) first evaluation campaign for the Mandarin Chinese language. The same packages are available for both English (ELRA-E0002) and Spanish (ELRA-E0003) for ASR and for SLT in 3 directions, English-to-Spanish (ELRA-E0005), Spanish-to-English (ELRA-E0006), Chinese-to-English (ELRA-E0007).To be able to chain the components, ASR and SLT evaluation tasks were designed to use common sets of raw data and conditions. Two evaluation tasks, common to ASR and SLT, were selected: EPPS (European Parliament Plenary Sessions) task and VOA (Voice of America) task. This package was used within the VOA task and consists of 2 data sets:- Development data set: consists of 3 hours of audio recordings from the broadcast news of Mandarin Voice of America between 1 and 3 December 1998 which corresponds more or less to 42,000 Chinese characters.- Test data set: consists of 3 hours of audio recordings from news broadcast between 14 and 22 December 1998 and corresponds to 44,000 Chinese characters.
Identifier:		ELRA-E0004
		ISLRN: 633-942-767-514-2
Identifier (URI):		https://catalog.elra.info/en-us/repository/browse/ELRA-E0004/
Language:		Chinese
Language (ISO639):		zho
Medium:		Not specified
Publisher:		ELRA (European Language Resources Association)
Type (DCMI):		Sound
Type (OLAC):		primary_text
OLAC Info
Archive:		ELRA Catalogue of Language Resources
Description:		http://www.language-archives.org/archive/catalogue.elra.info
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:catalogue.elra.info:ELRA-E0004
DateStamp:		2006-03-22
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		n.a. 2006. ELRA (European Language Resources Association).
Terms:		dcmi_Sound iso639_zho olac_primary_text