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Chuvash Audio Dataset (Unlabeled)

This dataset consists of raw, unlabeled audio recordings primarily in the Chuvash language. It is aggregated from various sources including audiobooks, religious texts, and lyrical content. It is intended for self-supervised learning, pre-training automatic speech recognition (ASR) models, or audio analysis tasks.

Note: While the primary language is Chuvash, some recordings may contain segments of Russian speech or code-switching, reflecting the bilingual nature of the region.

Dataset Structure & Statistics

The dataset is divided into several subsets. Below is the summary of the data distribution:

Subset Name Description Files Hours Seconds
lirics Songs / Lyrical content 4,195 3.17 11,421.79
books_part_1 Audiobooks (Part 1) 9,481 7.28 26,193.70
books_part_2 Audiobooks (Part 2) 9,043 8.63 31,067.10
bible Religious texts 24,437 13.88 49,980.20
bib General Audiobooks Collection 323,820 186.08 669,870.52
TOTAL All Subsets Combined 370,976 219.04 788,533.31

Audio Specifications

  • Format: Flac

Length Distributions by Subset

Below are the duration distributions for each subset of the data.

1. Subset: Lirics

Lirics Distribution

2. Subset: Books (Parts 1 & 2)

Books Part 1 Distribution

Books Part 2 Distribution

3. Subset: Bible

image

4. Subset: Bib (Large Collection of audiobooks)

(Diverse audiobooks) Bib Distribution

Usage

This dataset does not contain transcriptions. It is suitable for:

  • Self-supervised pre-training (e.g., Wav2Vec 2.0, HuBERT, XLSR)
  • Language identification (Chuvash vs. Russian)
  • Voice Activity Detection (VAD) analysis
  • Prosody and speech synthesis research

License

Creative Commons Attribution Non Commercial 4.0

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