README.md

metadata

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.