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SRI-FRTIV

Title
SRI-FRTIV / Linguistic Data Consortium.
ISBN
1585638137
Publication
[Philadelphia, PA] : [Linguistic Data Consortium], [2017]
Physical Description
1 online resource
Local Notes
Access is available to the Yale community.
Notes
Authors: Elizabeth Shriberg, Andreas Kathol, Martin Graciarena, Harry Bratt, Sachin Kajarekar, Huda Jameel, Colleen Richey, Fred Goodman.
Data source: microphone conversation, microphone speech.
Applications: speech recognition.
LDC number: LDC2017S18.
In English.
Title from resource home page (LDC website, viewed September 23, 2020).
Access and use
Access restricted by licensing agreement.
Summary
"SRI-FRTIV (Five-way Recorded Toastmaster Intrinsic Variation) was developed by SRI International in 2007-2008 and is comprised of approximately 232 hours of English speech from thirty-four speakers who were members of Toastmaster clubs. Participants were asked to speak at three different levels of effort (low, normal and high) in four different styles (interview, conversation, reading and oration) to study the question of how intrinsic variations -- associated with the speaker rather than the recording environment -- affect text-independent speaker verification. Participants were native speakers of North American English who were members of local Toastmasters clubs and had experience in public speaking. This release includes demographic information for 30 speakers (15 male, 15 female), including gender, birth year, height, education level, years in Toastmasters, and a self-evaluation of speaking skills. Not all effort levels were applicable for each speaking style and so were not collected. Interviews and phone conversations were not recorded at high effort and oration was not recorded at low or normal effort levels. Speech data is presented as 16kHz 16-bit single channel flac compressed pcm wav (.flac)." --LDC online catalog.
Variant and related titles
SRI Five-way Recorded Toastmaster Intrinsic Variation
Format
Audio / Data Sets / Online
Language
English
Added to Catalog
September 23, 2020
Genre/Form
Data sets.
Speech corpora.
Sound recordings.
Also listed under
Shriberg, Elizabeth, creator.
Linguistic Data Consortium, issuing body.
Citation

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