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Emotion Voice References for QwenTTS
Emotion-wise organized voice WAV files for Hindi (Male + Female) and English (Male + Female), ready to use as reference audio for Qwen3-TTS voice cloning.
π― Purpose
Reference audio clips for Qwen3-TTS voice cloning with emotion-aware synthesis. Organized consistently as {language}/{gender}/{emotion}/*.wav.
π Structure
hindi/
male/{emotion}/ β 4,895 WAVs (HIN_M_* from Rasa Hindi + URD_M_* from Rasa Urdu)
female/{emotion}/ β 2,327 WAVs (URD_F_* from Rasa Urdu)
english/
male/{emotion}/ β 720 WAVs (RAVDESS, 12 actors)
female/{emotion}/ β 720 WAVs (RAVDESS, 12 actors)
hindi_best_clips/
male/{emotion}/ β 3 curated ~5s clips per emotion
female/{emotion}/ β 3 curated ~5s clips per emotion
english_best_clips/
male/{emotion}/ β 3 curated ~5s clips per emotion
female/{emotion}/ β 3 curated ~5s clips per emotion
π Statistics
Hindi Male
| Emotion | Files |
|---|---|
| anger | 839 |
| disgust | 815 |
| fear | 801 |
| happy | 857 |
| sad | 745 |
| surprise | 838 |
| Total | 4,895 |
Sources: AI4Bharat Rasa Hindi (HIN_M) + Rasa Urdu (URD_M) β’ 48kHz WAV β’ CC BY 4.0
Hindi Female
| Emotion | Files |
|---|---|
| anger | 395 |
| disgust | 417 |
| fear | 343 |
| happy | 401 |
| sad | 384 |
| surprise | 387 |
| Total | 2,327 |
Source: AI4Bharat Rasa Urdu Female (URD_F) β’ 48kHz WAV β’ CC BY 4.0
English Male
| Emotion | Files |
|---|---|
| neutral | 48 |
| calm | 96 |
| happy | 96 |
| sad | 96 |
| angry | 96 |
| fearful | 96 |
| disgust | 96 |
| surprised | 96 |
| Total | 720 |
English Female
| Emotion | Files |
|---|---|
| neutral | 48 |
| calm | 96 |
| happy | 96 |
| sad | 96 |
| angry | 96 |
| fearful | 96 |
| disgust | 96 |
| surprised | 96 |
| Total | 720 |
Source: RAVDESS (12M + 12F actors) β’ 48kHz WAV β’ CC BY-NC-SA 4.0
Grand Total: 8,662 emotion-tagged WAV files
π Quick Usage with QwenTTS
from huggingface_hub import hf_hub_download
REPO = "sumedhu/hindi-emotion-voice-references"
# Hindi Male - happy
hf_hub_download(repo_id=REPO, repo_type="dataset",
filename="hindi_best_clips/male/happy/HIN_M_HAPPY_00057.wav")
# Hindi Female - angry
hf_hub_download(repo_id=REPO, repo_type="dataset",
filename="hindi_best_clips/female/anger/URD_F_ANGER_00237.wav")
# English Male - sad
hf_hub_download(repo_id=REPO, repo_type="dataset",
filename="english_best_clips/male/sad/03-01-04-01-01-02-21.wav")
# English Female - surprised
hf_hub_download(repo_id=REPO, repo_type="dataset",
filename="english_best_clips/female/surprised/03-01-08-02-01-01-14.wav")
πΊοΈ Emotion Coverage Matrix
| Emotion | Hindi Male | Hindi Female | English Male | English Female |
|---|---|---|---|---|
| happy | β 857 | β 401 | β 96 | β 96 |
| sad | β 745 | β 384 | β 96 | β 96 |
| anger/angry | β 839 | β 395 | β 96 | β 96 |
| fear/fearful | β 801 | β 343 | β 96 | β 96 |
| disgust | β 815 | β 417 | β 96 | β 96 |
| surprise/surprised | β 838 | β 387 | β 96 | β 96 |
| neutral | β | β | β 48 | β 48 |
| calm | β | β | β 96 | β 96 |
β οΈ Notes
- Best clips are ~5 seconds each (ideal for QwenTTS reference: 3-10s)
- All clips are single-emotion per file
- The reference audio IS the emotion carrier β QwenTTS clones both voice and emotion
- Hindi Female uses Rasa Urdu Female speaker (nearly identical phonology to Hindi)
- Hindi Male combines Rasa Hindi Male + Rasa Urdu Male speakers
- English clips have 2 intensity levels (normal + strong) per emotion
License
- Hindi clips: CC BY 4.0 (AI4Bharat Rasa)
- English clips: CC BY-NC-SA 4.0 (RAVDESS)
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