metadata
dataset_info:
features:
- name: transcription
dtype: string
- name: start
dtype: float64
- name: end
dtype: float64
- name: duration
dtype: float64
- name: word_count
dtype: int64
- name: source_file
dtype: string
- name: audio_quality
struct:
- name: rms_energy
dtype: float64
- name: silence_ratio
dtype: float64
- name: vad_refinement
struct:
- name: ctc_end
dtype: float64
- name: ctc_start
dtype: float64
- name: enabled
dtype: bool
- name: end_adjustment
dtype: float64
- name: search_windows
sequence: float64
- name: start_adjustment
dtype: float64
- name: vad_end
dtype: float64
- name: vad_start
dtype: float64
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 85710490319.848
num_examples: 534892
download_size: 86399992484
dataset_size: 85710490319.848
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
TTS Audio Dataset
Description
Uzbek audio dataset for STT and TTS tasks.
All audio is cleaned and split into short chunks.
Each chunk has a transcription with word-level timestamps.
Data Format
- Audio: FLAC, 24 kHz, 16-bit PCM
- Text: Transcriptions with timestamps (UTF-8)
Source
Collected from publicly available materials.
Processing Notes
Audio is denoised and chunked. Text is aligned at the word level for training.
Use Cases
Ready for training speech-to-text and text-to-speech models.