OLAC Record
oai:catalogue.elra.info:ELRA-E0012-02

Metadata
Title:TC-STAR 2006 Evaluation Package - ASR Spanish - EPPS
Abstract:This package includes the material used for the TC-STAR 2006 Automatic Speech Recognition (ASR) second evaluation campaign for the Spanish language within the EPPS task. It includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the 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.
Access Rights:Rights available for: Evaluation Use
Date Available (W3CDTF):2006-12-18
Date Issued (W3CDTF):2007-09-04
Date Modified (W3CDTF):2013-03-26
Description:Desktop/Microphone
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 second TC-STAR evaluation campaign took place in March 2006. Three core technologies were evaluated during the campaign: ? Automatic Speech Recognition (ASR), ? Spoken Language Translation (SLT), ? Text to Speech (TTS). Each evaluation package includes resources, protocols, scoring tools, results of the official campaign, etc., that were used or produced during the second 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 2006 Automatic Speech Recognition (ASR) second evaluation campaign for Spanish. The same packages are available for English (ELRA-E0011), Mandarin (ELRA-E0013), and for the CORTES task for Spanish (ELRA-E0012/01), for ASR, and for SLT in 3 directions, English-to-Spanish (ELRA-E0014), Spanish-to-English (ELRA-E0015), Chinese-to-English (ELRA-E0016). To be able to chain the components, ASR, SLT and TTS evaluation tasks were designed to use common sets of raw data and conditions. Three evaluation tasks, common to ASR, SLT and TTS, were selected: EPPS (European Parliament Plenary Sessions) task, CORTES (Spanish Parliament Sessions) task and VOA (Voice of America) task. The CORTES data were used in addition to the EPPS data to evaluate ASR in Spanish and SLT from Spanish into English. This package was used within the EPPS task and consists of 2 data sets: - Development data set: consists of audio recordings of Parliament?s sessions from 6 June to 7 July 2005, manually transcribed. 3 hours of recordings were selected and transcribed, corresponding to approximately 30,000 running words in Spanish. - Test data set: consists of audio recordings of Parliament?s sessions September to November 2005. As for the development set, the test data set is made of 3 hours (30,000 running words).
Identifier:ELRA-E0012-02
http://catalog.elra.info/product_info.php?products_id=1010
Language:Spanish, Castilian
Language (ISO639):spa
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-E0012-02
DateStamp:  2006-12-18
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: n.a. 2007. ELRA (European Language Resources Association).
Terms: area_Europe country_ES dcmi_Sound iso639_spa olac_primary_text


http://www.language-archives.org/item.php/oai:catalogue.elra.info:ELRA-E0012-02
Up-to-date as of: Fri Jun 23 1:05:51 EDT 2017