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dataset_info:
- config_name: dubs
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: duration
dtype: float64
- name: id
dtype: string
- name: file_id
dtype: string
- name: source
dtype: string
- name: speaker_id
dtype: string
splits:
- name: train
configs:
- config_name: dubs
data_files:
- split: train
path: '*/train*.parquet'
language:
- tt
pretty_name: Tatar Dubs
task_categories:
- text-to-speech
- automatic-speech-recognition
- audio-to-audio
tags:
- audio
- tts
- speech
- speech-to-speech
size_categories:
- 1K<n<10K
license: cc-by-4.0
---
# Studio Dub Recordings
## Dataset Summary
Studio Dub Recordings is a speech dataset consisting of high-quality studio recordings of dubbed audio in Tatar language. The dataset features professional voice actors performing various scripted dialogues, intended primarily for speech and text-to-speech (TTS) research in Tatar.
## Dataset Structure
**Parts:**
The dataset contains two main configurations:
- `audiobooks`: Contains the original audiobooks recordings.
**Data Fields:**
- `audio`: The audio file containing the spoken fairytale segment.
- `text`: The corresponding transcription.
- `duration`: The duration of the audio segment in seconds.
- `id`: A unique identifier for each segment within a file.
- `file_id`: A unique identifier for each part of the book.
- `source`: The title of the book.
- `speaker_id`: The id of each reader.
## Data Processing
**Text Processing:**
- All the text was splited, using razdel library.
**Audio Processing:**
- All audio was aligned to the text using ctc-forced-aligner library with default model.
**Technical Details:**
| | |
|-----------------------|------------------------------------|
| Dataset Type | speech corpus for TTS |
| Language | tat/tt, Tatar |
| Speech Style | scripted dialogues |
| Content | film dubbings |
| Audio Parameters | 44.1 kHz, 32 bits, mono |
| File Format | WAV (PCM) TXT (UTF-8) |
| Recording Environment | quiet indoor environment |
**Total Duration:**
- `Dubs`: 4:36:38 (4 hours, 36 minutes, 38 seconds)
## Usage Considerations
- The dataset was not extensively preprocessed. Users are encouraged to perform additional preprocessing (e.g., normalization, cleaning, or re-segmentation) as needed for their specific applications.
- All texts are written in Cyrillic script.
## Citation
If you use this dataset in your work, please, cite us.
## Acknowledgments
This dataset is created with support from the community project [Безнең Тәҗрибә](https://t.me/beztej). To support their work, please visit: https://boosty.to/beztej
## License
This dataset is distributed under the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) license. |