| --- |
| 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 |
|
|
