Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
10K - 100K
License:
Update README.md
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README.md
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## "Say It Again, Kid!" Speech data collection##
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## Training data for pronunciation quality classifiers for childred learning English ##
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Used in papers ...
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Train set and test set in
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File id key,
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Speaker key indicates train or test set, and a running number
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---
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We emphasize, that by no derivatives we mean that you cannot use the audio samples as part of any work that is not directly related to describing the dataset in a speech technology or scientific language learning context. You may include them in a scientific presentation when the context is clearly to present the original data and not to use the data in another fashion.
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Commercial use of speech samples for building and evaluation of speech technology models is
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## "Say It Again, Kid!" (SIAK) Speech data collection##
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## Training data for pronunciation quality classifiers for childred learning English ##
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Train set and test set in flac format.
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File id key, fields separated by underscores (example: train001fifi05_609_t10892805_living-room.flac)
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* Speaker key indicates train or test set, and a running number for speaker. _speaker key is train001_
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* Native language: "fifi" for Finnish, "enuk" for UK English, "othr" for other. _Native language fifi_
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* Age of speaker in years (if known). _This speaker was 05 years old at the start of the recording period_
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* Sample number. _This is the 609th sample spoken by the speaker. (Some kids really enjoyed contributing!)_
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* Seconds from first sample given. _10892805 seconds since first recording. This speaker contributed the samples over a 4 month period_
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* Targer utterance text with spaces etc replaced by dashes. _Utterance to be spoken was "living room"_
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## Release history ##
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This data is derived from the data collected in the SIAK project 2014-2018,
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Participants agreed that their data can be published anonymously. Unfortunately the General Data Protection Regulation (GDPR)
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became effective before the data was ready for release, and the publication effort halted.
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However the data was leased to an ill-fated startup that started operationsa few weeks before COVID-19 lockdowns.
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This collection is a derivation of the SIAK data with any strongly identifying metadata removed for use by the now bankrupt startup.
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We were involved in collecting, storing and processing the data in the SIAK project and have gone through the speech samples
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in enough detail to be assured that the data can be regarded as non-personal and thus except from GDPR as it consists of only single words or very short utterance repetitions, making it next to impossible to identify a speaker.
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Reima Karhila and Anna Smolander
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SIAK project researchers and unlucky startup founders
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---
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We emphasize, that by no derivatives we mean that you cannot use the audio samples as part of any work that is not directly related to describing the dataset in a speech technology or scientific language learning context. You may include them in a scientific presentation when the context is clearly to present the original data and not to use the data in another fashion.
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Commercial use of speech samples for building and evaluation of speech technology models is _not_ prohibited.
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If you publish work based on this dataset, please cite _Karhila & al.: Pronunciation Scoring System Embedded into Children’s Foreign
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Language Learning Games with Experimental Verification of Learning Benefits, SLATE 2023_.
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