2005 NIST Speaker Recognition Evaluation Training Data

registration: 2016/01/17 10:21:24, last modified: 2016/06/18 09:33:10
title
  • 2005 NIST Speaker Recognition Evaluation Training Data
title.abbreviation
title.alternative
creator
  • researcher NIST Multimodal Information Group
subject
  • speech database
subject.linguisticField
subject.monoMultilingual
  • multilingual
subject.resourceSubject
  • corpus
description
  • *Introduction *

    2005 NIST Speaker Recognition Evaluation Training Data, Linguistic Data Consortium (LDC) catalog number LDC2011S01 and isbn 1-58563-579-0, was developed at LDC and NIST (National Institute of Standards and Technology). It consists of 392 hours of conversational telephone speech in English, Arabic, Mandarin Chinese, Russian and Spanish and associated English transcripts used as training data in the NIST-sponsored 2005 Speaker Recognition Evaluation (SRE). The ongoing series of SRE yearly evaluations conducted by NIST are intended to be of interest to researchers working on the general problem of text independent speaker recognition. To that end the evaluations are designed to be simple, to focus on core technology issues, to be fully supported and to be accessible to those wishing to participate.

    The task of the 2005 SRE evaluation was speaker detection, that is, to determine whether a specified speaker is speaking during a given segment of conversational speech. The task was divided into 20 distinct and separate tests involving one of five training conditions and one of four test conditions. Further information about the task conditions is contained in the The NIST Year 2005 Speaker Recognition Evaluation Plan.

    *Data *

    The speech data consists of conversational telephone speech with multi-channel data collected simultaneously from a number of auxiliary microphones. The files are organized into two segments: 10 second two-channel excerpts (continuous segments from single conversations that are estimated to contain approximately 10 seconds of actual speech in the channel of interest) and 5 minute two-channel conversations.

    The speech files are stored as 8-bit u-law speech signals in separate SPHERE files. In addition to the standard header fields, the SPHERE header for each file contains some auxiliary information that includes the language of the conversation and whether the data was recorded over a telephone line.

    English language word transcripts in .cmt format were produced using an automatic speech recognition system (ASR)with error rates in the range of 15-30%.

    *Samples*

    For an example of the data contained in this corpus, review this audio sample.
description.price *This metadata is only as a guide
description.language
  • English
description.inputDevice
  • fixed_line_telephone
description.inputEnvironment
description.speakingStyle
  • spontaneous_speech
description.speechMode
  • dialogue
description.samplingRate
  • 8 kHz
description.additionalData
  • analysis_parameter transcripts
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
date.created
date.issued
  • 2011-05-24
date.modified
type
  • Sound
  • Text
type.discourseType
  • interactive_discourse
type.linguisticType
  • primary_text
type.purpose
  • analysis
  • developing_technologies
type.style
  • speech
type.form
  • unfixed
type.sentence
  • long
  • short
type.annotation
type.annotationSample
type.sample
format.extent
  • Corpus size: 22124953 KB
format.medium
  • DVD
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 778-313-260-404-1
source
language
  • Spanish
  • Russian
  • English
  • Mandarin Chinese
  • Arabic
language.area
  • America
  • Asia
  • Europe
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
coverage.spacial
rights