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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - audio-classification
+  - text-to-speech
+tags:
+  - voice
+  - speaker-embedding
+  - deduplicated
+  - emotion
+  - quality-filtered
+  - speech-enhancement
+  - clearervoice
+pretty_name: Reference Voices Enhanced
+size_categories:
+  - 1K<n<10K
+---
+
+# Reference Voices Enhanced
+
+2,004 AI voice samples enhanced with [ClearerVoice-Studio](https://github.com/modelscope/ClearerVoice-Studio) MossFormer2_SE_48K speech enhancement, annotated with [Empathic Insight Voice Plus](https://huggingface.co/laion/Empathic-Insight-Voice-Plus) (59 quality + emotion scores).
+
+## Dataset Summary
+
+- **Source**: [laion/ai-voices-deduplicated](https://huggingface.co/datasets/laion/ai-voices-deduplicated) (2,004 speaker-deduplicated, quality-filtered AI voice samples)
+- **Speech Enhancement**: ClearerVoice MossFormer2_SE_48K — background noise removal and speech clarity improvement
+- **Output Format**: Enhanced WAV files at 48kHz (replacing original MP3s)
+- **Annotations**: Full Empathic Insight Voice Plus scores (59 dimensions: 55 emotion scores + 4 quality scores)
+- **Metadata**: Updated JSON sidecar per sample with all annotation scores
+- **Packaging**: Single tar file
+
+## Enhancement Pipeline
+
+1. **Source data**: 2,004 samples from `laion/ai-voices-deduplicated`, organized by gender (male/female/androgynous) and age category (child/teenager/young_adult/adult/elderly)
+2. **Speech enhancement**: Each audio sample processed through [ClearerVoice-Studio](https://github.com/modelscope/ClearerVoice-Studio) `MossFormer2_SE_48K` model for noise suppression and speech clarity improvement at 48kHz
+3. **Format conversion**: Original MP3 files replaced with enhanced WAV files at 48kHz sample rate
+4. **Emotion annotation**: All enhanced samples annotated with [Empathic Insight Voice Plus](https://huggingface.co/laion/Empathic-Insight-Voice-Plus), providing 59 scores per sample
+5. **Metadata update**: JSON sidecar files updated with all annotation scores
+
+## Structure
+
+```
+reference-voices-enhanced.tar
+├── male/
+│   ├── 02_child/       (1 sample)
+│   ├── 03_teenager/    (5 samples)
+│   ├── 04_young_adult/ (217 samples)
+│   ├── 05_adult/       (813 samples)
+│   └── 08_elderly/     (1 sample)
+├── female/
+│   ├── 02_child/       (16 samples)
+│   ├── 03_teenager/    (3 samples)
+│   ├── 04_young_adult/ (376 samples)
+│   ├── 05_adult/       (514 samples)
+│   └── 08_elderly/     (1 sample)
+└── androgynous/
+    ├── 02_child/       (13 samples)
+    ├── 04_young_adult/ (19 samples)
+    └── 05_adult/       (25 samples)
+```
+
+Each sample consists of:
+- **`.wav`** — Enhanced audio file (48kHz, WAV format)
+- **`.json`** — Metadata sidecar with caption, emotion scores, and quality scores
+
+## Gender Distribution
+
+| Gender | Count |
+|---|---|
+| Male | 1,037 |
+| Female | 910 |
+| Androgynous | 57 |
+| **Total** | **2,004** |
+
+## Annotations
+
+### Quality Scores (4 dimensions)
+
+All samples were quality-filtered in the source dataset with:
+- `score_background_quality >= 3.5` (DNS MOS background quality)
+- `score_content_enjoyment >= 5.0` (content enjoyment rating)
+
+The full set of quality scores in each JSON sidecar:
+
+| Score | Description |
+|---|---|
+| `score_background_quality` | DNS MOS background quality rating |
+| `score_content_enjoyment` | Content enjoyment rating |
+| `score_overall_quality` | Overall audio quality rating |
+| `score_speech_quality` | Speech-specific quality rating |
+
+### Emotion Scores (55 dimensions)
+
+Each JSON sidecar contains 55 emotion and vocal characteristic scores from Empathic Insight Voice Plus, including:
+
+- **Core emotions**: Anger, Disgust, Fear, Sadness, Joy/Happiness, Contentment, Amusement, Affection, Awe
+- **Complex emotions**: Contempt, Confusion, Distress, Disappointment, Bitterness, Nostalgia, Guilt/Shame, Envy/Jealousy
+- **Social/cognitive**: Concentration, Contemplation, Determination, Pride, Relief, Sarcasm/Irony, Triumph
+- **Surprise variants**: Astonishment/Surprise, Excitement
+- **Vocal characteristics**: Age, Arousal, Valence, Dominance, Authenticity, Monotone vs. Expressive, Confident vs. Hesitant, Formal vs. Casual, Fast vs. Slow, Loud vs. Soft, Staccato vs. Legato, Tense vs. Relaxed, Nasal, Breathy/Whisper, Creaky/Vocal Fry, Trembling/Shaky, Lisp/Speech Impediment, Accent Strength
+- **Additional**: Background Noise, Music/Singing, Laughter, Non-speech Sounds, Reverberation, Multiple Speakers
+
+## Speech Enhancement Details
+
+The [ClearerVoice-Studio](https://github.com/modelscope/ClearerVoice-Studio) MossFormer2_SE_48K model is a state-of-the-art speech enhancement model that:
+
+- Removes background noise while preserving speech quality
+- Operates at 48kHz for high-fidelity output
+- Uses the MossFormer2 architecture optimized for speech enhancement (SE)
+- Produces clean, broadcast-quality speech suitable for TTS reference voices
+
+## Source Dataset Lineage
+
+```
+laion/reference_ai_voices_with_timbre_annotations  (17 tar files, ~32,000 samples)
+    │
+    ├── Quality filtering (score_background_quality >= 3.5, score_content_enjoyment >= 5.0)
+    │   → 11,473 samples
+    │
+    ├── Speaker deduplication (Orange/Speaker-wavLM-tbr embeddings, agglomerative clustering)
+    │   → 2,004 unique speakers
+    │
+    └── laion/ai-voices-deduplicated  (2,004 samples, MP3)
+        │
+        ├── ClearerVoice MossFormer2_SE_48K speech enhancement
+        ├── Format conversion to 48kHz WAV
+        ├── Empathic Insight Voice Plus annotation (59 scores)
+        │
+        └── laion/reference-voices-enhanced  (2,004 samples, WAV @ 48kHz)  ← this dataset
+```
+
+## Usage
+
+```python
+from huggingface_hub import hf_hub_download
+import tarfile
+
+# Download the tar file
+path = hf_hub_download(
+    "laion/reference-voices-enhanced",
+    "reference-voices-enhanced.tar",
+    repo_type="dataset"
+)
+
+# Extract
+with tarfile.open(path) as tar:
+    tar.extractall("./reference-voices-enhanced")
+```
+
+## Citation
+
+If you use this dataset, please cite the source dataset and the tools used:
+
+- [LAION AI Voices Deduplicated](https://huggingface.co/datasets/laion/ai-voices-deduplicated)
+- [ClearerVoice-Studio](https://github.com/modelscope/ClearerVoice-Studio)
+- [Empathic Insight Voice Plus](https://huggingface.co/laion/Empathic-Insight-Voice-Plus)
+- [Orange Speaker-wavLM-tbr](https://huggingface.co/Orange/Speaker-wavLM-tbr)
+
+## License
+
+CC-BY-4.0