---
license: cc-by-4.0
language:
  - en
  - hi
size_categories:
  - n<1K
task_categories:
  - text-to-speech
  - automatic-speech-recognition
tags:
  - tts
  - indian-english
  - hindi
  - emotion
  - speech
---

# Indian English + Hindi TTS Mini Dataset

A small (~60 min) speech corpus assembled for TTS training, sourced from
public YouTube content and transcribed with the Sarvam `saaras:v3` model.

## Summary

| Field | Value |
|---|---|
| Total duration | ~60 min |
| Indian English (en-IN) | ~30 min |
| Hindi (hi-IN) | ~30 min |
| Audio | mono, 16 kHz, WAV |
| Per-clip duration | ≤ 30 s |
| Emotion tags | Angry, Calm, Excited, Formal, Happy, Instruction, Motivation, Narration, Neutral, News, Sad, Surprised, Whisper |

## Schema

Each row contains:

- `clip_id` — deterministic id, `{video_id}_{start_sec}_{end_sec}`
- `audio` — 16 kHz mono WAV (HuggingFace `Audio` feature)
- `transcription` — Sarvam `saaras:v3` transcript, lightly normalized
- `language` — `en-IN` or `hi-IN`
- `emotion` — one of the categories above
- `speaker_id` — set to source `video_id` (one speaker per source video)
- `duration_sec`, `start_sec`, `end_sec` — integers, seconds
- `video_id`, `source_url` — YouTube provenance

## Notes & curation

- Clips longer than 30 s in the source spec were split into back-to-back
  ≤30 s pieces so they fit Sarvam's sync ASR limit.
- Transcripts come from Sarvam `saaras:v3`; every clip was then reviewed
  manually, with multiple iterative passes to correct ASR errors,
  normalize spelling, and tighten emotion tags.
- A separate diarization model was **not** used. Each source URL/timestamp
  was hand-picked to contain a single speaker, and the manual review
  pass listened end-to-end to every clip and re-cut or replaced any
  that drifted into multi-speaker territory.
- `speaker_id` is set to the YouTube `video_id` — each source video has
  exactly one speaker by construction.
- Emotion tags come from the curator's labelling of each source clip,
  refined during the review passes.

## License

Audio is sourced from YouTube; rights remain with their original creators.
Transcriptions and metadata are released under CC-BY-4.0. Please consult
the original videos for redistribution constraints.