GlobalPhone Ukrainian

registration: 2016/06/03 07:15:04, last modified: 2016/06/03 07:33:55
title
  • GlobalPhone Ukrainian
title.abbreviation
title.alternative
creator
subject
  • speech database
subject.linguisticField
  • phonetics
  • phonology
subject.monoMultilingual
  • monolingual
subject.resourceSubject
  • corpus
description
  • The GlobalPhone corpus developed in collaboration with the Karlsruhe Institute of Technology (KIT) was designed to provide read speech data for the development and evaluation of large continuous speech recognition systems in the most widespread languages of the world, and to provide a uniform, multilingual speech and text database for language independent and language adaptive speech recognition as well as for language identification tasks.

    The entire GlobalPhone corpus enables the acquisition of acoustic-phonetic knowledge of the following 22 spoken languages: Arabic (ELRA-S0192), Bulgarian (ELRA-S0319), Chinese-Mandarin (ELRA-S0193), Chinese-Shanghai (ELRA-S0194), Croatian (ELRA-S0195), Czech (ELRA-S0196), French (ELRA-S0197), German (ELRA-S0198), Hausa (ELRA-S0347), Japanese (ELRA-S0199), Korean (ELRA-S0200), Polish (ELRA-S0320), Portuguese (Brazilian) (ELRA-S0201), Russian (ELRA-S0202), Spanish (Latin America) (ELRA-S0203), Swahili (ELRA-S0375), Swedish (ELRA-S0204), Tamil (ELRA-S0205), Thai (ELRA-S0321), Turkish (ELRA-S0206), Ukrainian (ELRA-S0377), and Vietnamese (ELRA-S0322).

    In each language about 100 sentences were read from each of the 100 speakers. The read texts were selected from national newspapers available via Internet to provide a large vocabulary. The read articles cover national and international political news as well as economic news. The speech is available in 16bit, 16kHz mono quality, recorded with a close-speaking microphone (Sennheiser 440-6). The transcriptions are internally validated and supplemented by special markers for spontaneous effects like stuttering, false starts, and non-verbal effects like laughing and hesitations. Speaker information like age, gender, occupation, etc. as well as information about the recording setup complement the database. The entire GlobalPhone corpus contains over 450 hours of speech spoken by more than 2100 native adult speakers.

    Data is shortened by means of the shorten program written by Tony Robinson, available from Softsound's web page: http://www.softsound.com/ linux distributions, or simulated versions such as cygwin. Alternatively, the data could be delivered unshorten.

    The GlobalPhone Ukrainian corpus contains 12,814 utterances spoken by 119 speakers. Native speakers of Ukrainian were asked to read prompted sentences of newspaper articles. The entire collection took place in Donezk, Ukraine.

    Ukrainian Newspaper sources:
    http://umoloda.kiev.ua,
    http://day.kiev.ua,
    http://ukurier.com.ua,
    http://pravda.com.ua,
    http://chornomorka.com,
    http://tsn.ua,
    http://champion.com.ua,
    http://ukrslovo.org.ua,
    http://epravda.com.ua.
description.price *This metadata is only as a guide
  • Members Prices :
  • Academic - Commercial 3000.00 EUR
  • Academic - Research 600.00 EUR
  • Commercial - Commercial 3000.00 EUR
  • Commercial - Research 3000.00 EUR
  • Non Member Prices :
  • Academic - Commercial 3600.00 EUR
  • Academic - Research 700.00 EUR
  • Commercial - Commercial 3600.00 EUR
  • Commercial - Research 3600.00 EUR
description.language
description.inputDevice
  • close_talking_microphone Sennheiser 440-6
description.inputEnvironment
description.speakingStyle
  • read_speech
description.speechMode
  • monologue
description.samplingRate
  • 16 kHz
description.additionalData
  • analysis_parameter Transcriptions with special markers for spontaneous effects like stuttering, false starts, and non-verbal effects like laughing and hesitations
  • analysis_parameter Speaker information like age, gender, occupation, etc. as well as information about the recording setup
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
  • native
contributor.attribute.speaker.dialect
  • standard_dialect
contributor.attribute.speaker.level
  • amateur
contributor.attribute.speaker.age
  • adult
contributor.attribute.speaker.gender
  • male
  • female
contributor.attribute.speaker.number
  • number_of_total_speakers 119
date.created
date.issued
date.modified
type
  • Sound
  • Text
type.discourseType
type.linguisticType
  • primary_text
type.purpose
  • developing_technologies To provide read speech data for the development and evaluation of large continuous speech recognition systems in the most widespread languages of the world
  • developing_technologies To provide a uniform, multilingual speech and text database for language independent and language adaptive speech recognition as well as for language identification tasks
type.style
  • speech
type.form
  • unfixed
type.sentence
  • long
  • short
type.annotation
  • annotated
type.annotationSample
type.sample
format.extent
  • 12,814 utterances spoken by 119 speakers
  • Bytesize : approximately 2 Gb
format.medium
  • DVD
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 456-398-378-806-1
source
language
  • Ukrainian
language.area
  • Europe
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
coverage.spacial
  • Donezk, Ukraine
rights
  • Rights available for: Research Use, Commercial Use