Datasets:
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The owner of the dataset reserves the right to reject any request without
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Country: country
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dataset_info:
features:
- name: audio
dtype: audio
- name: transcript
dtype: string
- name: no_punct
dtype: string
- name: duration_sec
dtype: float64
- name: narrator
dtype: string
- name: narrator_gender
dtype: string
splits:
- name: train
num_bytes: 4052904878.121
num_examples: 4441
download_size: 3430965703
dataset_size: 4052904878.121
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- automatic-speech-recognition
language:
- kk
size_categories:
- 1K<n<10K
KazLibri
KazLibri is a Kazakh narrated speech corpus consisting of audio–text pairs derived from books. The project is inspired by the LibriSpeech corpus.
The corpus is released strictly for research and educational purposes only. Any form of commercial use, redistribution for profit, or integration into proprietary systems is not permitted. At the time of public release, the corpus contains just over six hours of narrated speech.
Initiated independently during a period of unemployment, KazLibri represents one of several personal efforts (e.g., KazParov) to enrich Kazakh text and speech resources through perseverance and self-driven research. Please excuse the gradual pace of expansion and updates, as the project is currently being developed single-handedly.
Please also note that, despite considerable effort invested in data collection, segmentation, and transcription, the corpus may still contain errors or inconsistencies. Any feedback, corrections, or suggestions will be sincerely appreciated.