TC-STAR 2007 Evaluation Package - ASR English

registration: 2016/01/17 10:20:26, last modified: 2016/06/06 08:38:35
title
  • TC-STAR 2007 Evaluation Package - ASR English
title.abbreviation
title.alternative
creator
subject
  • speech database
subject.linguisticField
  • translating_and_interpreting
subject.monoMultilingual
  • monolingual
subject.resourceSubject
  • corpus
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 third TC-STAR evaluation campaign took place in March 2007.
    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 2007 Automatic Speech Recognition (ASR) third evaluation campaign for English. The same packages are available for both Spanish (ELRA-E0026-01 and E0026-02) and Mandarin (ELRA-E0027) for ASR and for SLT in 3 directions, English-to-Spanish (ELRA-E0028), Spanish-to-English (ELRA-E0029-01 and E0029-02), Chinese-to-English (ELRA-E0030).

    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 one test data set, composed of audio recordings of Parliament’s sessions from June to September 2006. The test data set is made of 3 hours (29,748 running words).
description.price *This metadata is only as a guide
description.language
  • English
description.inputDevice
  • microphone
description.inputEnvironment
description.speakingStyle
  • spontaneous_speech
description.speechMode
description.samplingRate
description.additionalData
publisher
contributor
contributor.attribute.author.motherTongue
contributor.attribute.author.dialect
contributor.attribute.author.level
contributor.attribute.author.age
contributor.attribute.author.gender
contributor.attribute.speaker.motherTongue
contributor.attribute.speaker.dialect
contributor.attribute.speaker.level
  • amateur
contributor.attribute.speaker.age
contributor.attribute.speaker.gender
contributor.attribute.speaker.number
date.created
date.issued
  • 2007-10-03
date.modified
  • 2012-05-23
type
  • Sound
type.discourseType
type.linguisticType
  • primary_text
type.purpose
  • developing_technologies
type.style
  • speech
type.form
  • unfixed
type.sentence
  • long
  • short
type.annotation
type.annotationSample
type.sample
format.extent
  • Duration : 3 hours (29,748 running words)
format.medium
  • DVD
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 455-358-930-195-6
source
  • European Parliament Plenary Sessions
language
  • English
language.area
  • Europe
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
  • 2006
coverage.spacial
rights
  • Rights available for: Evaluation Use