Datasets:

S24131
/

synth-data-tts

license: other
task_categories:
  - text-to-speech
language:
  - hi
  - en
pretty_name: Synthetic TTS data (Maya2-native)
configs:
  - config_name: hindi
    data_files:
      - split: satvik
        path: hindi/data/satvik/*.parquet
      - split: charvi
        path: hindi/data/charvi/*.parquet
    default: true
  - config_name: english
    data_files:
      - split: satvik
        path: english/data/satvik/*.parquet
      - split: charvi
        path: english/data/charvi/*.parquet

Synthetic TTS data

Synthetic speech generated with Maya2-native for distilling into a small TTS (Kokoro-82M). Two voices, Satvik (male) and Charvi (female), per language. 24 kHz mono FLAC (16-bit) stored inside Parquet.

Language	Voice	Clips	Hours	Shared texts	Shards
Hindi	Satvik	140,002	242.2	33,003	36
Hindi	Charvi	140,002	261.4	98,003	38
English	Satvik	117,648	198.0	35,295	30
English	Charvi	117,647	210.5	35,295	32

One config per language, one split per voice. "Shared" clips use texts read by both voices; the rest are unique to the voice. Texts are balanced by category and length bucket (bucket); extra_numbers marks added number-heavy sentences.

Layout

<language>/data/<voice>/train-XXXXX-of-NNNNN.parquet
<language>/text/        full sentence pool, per-voice selections (+ Kokoro train/val split for Hindi)

Fields

audio, id, voice, text (original), text_norm (Maya normaliser output: numbers expanded, nukta stripped), category, source, bucket, shared, extra_numbers, duration (s), seed (generation seed).

Usage

from datasets import load_dataset
ds = load_dataset("S24131/synth-data-tts", "hindi", split="satvik")