silvermango9927/synthetic-asr-vi

Synthetic ASR data — vi

Generated by Valsea-ASR/synthetic-data-pipeline. Audio is synthetic (TTS), targeted as training data for downstream ASR finetuning.

Total audio: 50.7 hr across short (5s) and long (30s) length buckets, each in clean and augmented variants.

Loading

from datasets import load_dataset

ds = load_dataset("<org>/synthetic-asr-vi", "short_clean")
print(ds["train"][0]["audio"])  # {"array": np.ndarray, "sampling_rate": 16000, "path": "..."}
print(ds["train"][0]["text"])

Available configs:

• long_clean

Splits

Bucket	Aug state	Train	Val	Audio (sec)
long	clean	6912	338	182488.8

Schema

Each row in manifest.jsonl / val.jsonl:

{"audio": "audio/<filename>.wav",
 "audio_filepath": "audio/<filename>.wav",
 "text": "...",
 "duration": 4.35,
 "language": "vi",
 "source": "synthetic",
 "voice_id": "...",
 "augmentation": null | "<transform>"}

Audio is 16 kHz mono WAV. audio is auto-cast to Audio(sampling_rate=16000) by HF; audio_filepath is the same path as a bare string for direct NeMo training-manifest use. Val split is a deterministic ~5% hash-based hold-out.