FeruzaSpeech / README.md
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language:
  - uz
pretty_name: Feruza Speech
license: other
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  Your access to and use of the information in the K2Speech Transcript Dataset
  (the “Content”), which is provided by K2Speech, LLC, shall be governed by the
  following terms and conditions of usage (“Terms of Usage”). The Content may be
  accessed only by persons who have been authorized to use this Content pursuant
  to their acceptance and acknowledgement of these Terms of Usage (in each case,
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  If you do not wish to be bound by these Terms of Usage, you must not use this
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  Section 1  THE CONTENT

  1.1 The Content is provided for academic research purposes and internal use
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  The Content, which consists of transcribed audio collected from Youtube, and
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  Section 2 - DISCLAIMER OF WARRANTY AND LIMITATION OF LIABILITY

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  Section 4 - MISCELLANEOUS

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Dataset Card for Dataset Name

FeruzaSpeech is a read speech dataset of the Uzbek language, transcribed in both Cyrillic and Latin alphabets, freely available for academic research pur- poses. It includes 60 hours of high-quality recordings from a single native female speaker from Tashkent, Uzbekistan.

Dataset Details

  • Language(s) (NLP): Uzbek
  • License: Other

Uses

Direct Use

This dataset is intended to be used for Uzbek speech-to-text purposes, especially as a supplement to existing Uzbek datasets.

Dataset Structure

FeruzaSpeech includes "Train", ”Dev” (development) and ”Test” (testing) sets. The corpus contains high-quality, single-channel, 16-bit .wav audio files, available in 16kHz for ASR.

Subset Duration
Train 52.09h
Dev 2.93h
Test 4.08h

Dataset Creation

Curation Rationale

To augment the Uzbek open-source speech-to-text datasets available for research.

Source Data

Data consists of the Uzbek book, Calikusu, and BBC news articles.

Who are the source language producers?

One female native Uzbek speaker, from Tashkent, Uzbekistan, producing read speech in a perfect recording environment.

Annotation process

Recordings were read from Cyrrilic excerpts of a book and some BBC news articles, which were later converted to Latin using online tools, with some grammatical errors being manually fixed after the use of the conversion calculator. The average recording length was 16 seconds, the minimum length was 4 seconds, and the maximum length is 51 seconds.

Biases

This dataset only contains audio from a single female speaker, so male speakers are not accounted for. The speaker also has a dialect found in Tashkent, Uzbekistan, so other dialects of Uzbek are not considerde in this dataset.

Other Limitations

The data is more formal as it is sourced from a novel and news articles, which doesn't account for casual speech.

Dataset Card Contact

data@k2speech.com