Large Farsdat

registration: 2016/06/03 07:50:37, last modified: 2016/06/03 08:24:57
title
  • Large Farsdat
title.abbreviation
title.alternative
creator
subject
  • speech database
subject.linguisticField
  • phonetics
  • phonology
subject.monoMultilingual
  • monolingual
subject.resourceSubject
  • corpus
description
  • Large Farsdat (L-FARSDAT) is a Persian (Farsi) Speech Database containing about 73 hours of read speech from formal Farsi texts (newspapers) which have been recorded by 100 speakers through a unidirectional desktop microphone. Each speaker uttered 20-25 pages of text from various subjects and recording was conducted in a noiseless environment. The average SNR of the desktop microphone is about 28 dB. The sampling rate is 22050 Hz for the whole corpus.
    The whole database is segmented and labelled at word and sentence levels with byte count alignment and each word is transcribed according to the 29 standard Persian phonemes.
    There are also three labels indicating silence (sil), breathy voice (br) and non-speech sounds (ns).
description.price *This metadata is only as a guide
  • Members Prices :
  • Academic - Commercial 25000.00 EUR
  • Academic - Research 6400.00 EUR
  • Commercial - Commercial 25000.00 EUR
  • Commercial - Research 25000.00 EUR
  • Non Member Prices :
  • Academic - Commercial 30000.00 EUR
  • Academic - Research 8000.00 EUR
  • Commercial - Commercial 30000.00 EUR
  • Commercial - Research 30000.00 EUR
description.language
description.inputDevice
  • unidirectional desktop microphone
description.inputEnvironment
  • office_room noiseless environment
description.speakingStyle
  • read_speech
description.speechMode
  • monologue
description.samplingRate
  • 22.05 kHz
description.additionalData
  • analysis_parameter Transcriptions according to the 29 standard Persian phonemes
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
contributor.attribute.speaker.age
contributor.attribute.speaker.gender
contributor.attribute.speaker.number
  • number_of_total_speakers 100
date.created
date.issued
date.modified
type
  • Sound
  • Text
type.discourseType
type.linguisticType
  • primary_text
type.purpose
type.style
  • speech reading
type.form
  • unfixed
type.sentence
  • long
  • short
type.annotation
  • annotated The whole database is segmented and labelled at word and sentence levels with byte count alignment and each word is transcribed according to the 29 standard Persian phonemes. There are also three labels indicating silence (sil), breathy voice (br) and non-speech sounds (ns).
type.annotationSample
type.sample
format.extent
  • About 73 hours of speech read by 100 speakers.
  • Each speaker uttered 20-25 pages of text.
format.medium
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 067-486-870-902-0
source
language
  • Persian
language.area
  • Asia
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
coverage.spacial
rights
  • Rights available for: Research Use, Commercial Use