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VieNeu-TTS Vietnamese Speech Dataset
Dataset Description
Vietnamese text-to-speech dataset for fine-tuning VieNeu-TTS models. Contains paired audio recordings and Vietnamese text transcriptions.
Dataset Structure
Data Fields
- audio: Audio recording (WAV, 24kHz, mono, 16-bit PCM)
- transcription: Vietnamese text transcription of the audio
Data Splits
| Split | Samples |
|---|---|
| train | 1,805 |
Dataset Statistics
- Total audio files: 1,805 (filtered from 2,406 raw recordings)
- Audio format: WAV, 24kHz sample rate, mono, 16-bit PCM
- Duration range: 3-15 seconds per sample
- Total size: ~733 MB (audio)
Metadata Files
The following CSV files are included for fine-tuning convenience (pipe-delimited, no headers):
| File | Samples | Format |
|---|---|---|
metadata.csv |
2,402 | filename|text |
metadata_cleaned.csv |
1,805 | filename|text |
metadata_encoded.csv |
1,805 | filename|text|vq_codes |
Data Collection
Dataset was generated using asr-dataset-generation.
Audio-text pairs were collected and filtered with the following criteria:
- Audio duration between 3.0 and 15.0 seconds
- Valid Vietnamese text transcriptions
- 597 samples removed during filtering (24.8% rejection rate)
Related Models
- quocs/vieneu-0.3b-lora-hatrang - LoRA fine-tuned on this dataset
Usage
from datasets import load_dataset
dataset = load_dataset("quocs/hatrang-voice-4h")
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