Datasets:

laion
/

reference-voices-enhanced

json dict	__key__ stringlengths 24 37	__url__ stringclasses 1 value
{ "caption": "A high-quality recording of a woman speaking with extreme joy and excitement. She is giggling and sounds very happy about a recent event. The recording quality is very high, and there is no background noise.", "emotions": { "Affection": 1.7422, "Age": 3.0879, "Amusement": 2.2773, "Ange...	androgynous/02_child/30jqlvudpi	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker offering comfort and support. The speaker sounds warm, caring, and reassuring. The tone is gentle and caring.", "emotions": { "Affection": 3.3398, "Age": 3.4766, "Amusement": -0.0006, "Anger": -0.0001, "Arousal": 1.4062, "Astonishment_...	androgynous/02_child/4f9uubkp62	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker with a slightly low-pitched voice, speaking in a reflective and somewhat melancholic tone. The speaker sounds like an older adult, and the recording is clear with no background noise.", "emotions": { "Affection": 1.04, "Age": 3.666, "Amusement": -...	androgynous/02_child/d9yfhroz6n	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a woman speaking with a mix of frustration, annoyance, and relief. She describes a child's reaction and the resulting sense of liberation. There are sounds of a tongue click and a sigh.", "emotions": { "Affection": 0.1871, "Age": 3.3672, "Amusement": 1.4697, ...	androgynous/02_child/drj1zf3na5	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a woman speaking with a pleading and urgent tone. She sounds distressed and desperate. The recording quality is decent, and there is no background noise.", "emotions": { "Affection": 1.0986, "Age": 3.1836, "Amusement": -0.0007, "Anger": 1.1514, "Arousa...	androgynous/02_child/ll49rv2r7p	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker expressing joy and warmth while describing children playing in a park. The speaker sounds very happy and moved. There is a slight chuckle in the audio.", "emotions": { "Affection": 1.2822, "Age": 3.0293, "Amusement": 1.9424, "Anger": -0.0005, ...	androgynous/02_child/mflrv5vf6l	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of an older man speaking in a warm, comforting, and slightly melancholic tone. He sounds wise and reflective, sharing personal experiences. The recording quality is decent, with no noticeable background noise.", "emotions": { "Affection": 1.5898, "Age": 3.3516, "...	androgynous/02_child/mlyytaj2r0	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a woman speaking with a warm and nostalgic tone. She is reminiscing about children laughing and playing in a park. Her voice is expressive and filled with joy. There are no sound effects or music.", "emotions": { "Affection": 2.4434, "Age": 3.3613, "Amusement": ...	androgynous/02_child/nixqo7rbep	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a woman speaking with extreme excitement and joy. She is describing a dream come true. There is a childlike giggle present. The recording quality is very high, and there is no background noise.", "emotions": { "Affection": 1.1035, "Age": 2.9688, "Amusement": 1.5...	androgynous/02_child/nrjfe60z68	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a woman speaking with a mix of amusement, surprise, and slight hysteria. She is giggling and sounds very expressive. There are some vocalizations like giggles and laughter.", "emotions": { "Affection": 0.6904, "Age": 2.873, "Amusement": 2.5645, "Anger": -0...	androgynous/02_child/pribsp2qou	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a female speaker expressing extreme gratitude and affection. She sounds very emotional and sincere. There is a squeak sound effect.", "emotions": { "Affection": 1.5303, "Age": 3.2871, "Amusement": -0.0006, "Anger": -0.0001, "Arousal": 2.5469, "Astoni...	androgynous/02_child/wr1dczjrd2	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a man speaking with a thick accent, possibly Italian. He sounds amused and slightly paranoid, describing a squirrel. There is laughter present. The recording quality is decent, but not perfect.", "emotions": { "Affection": 1.1934, "Age": 3.2441, "Amusement": 3...	androgynous/02_child/xct6oxagkn	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of an older male speaker with a slightly raspy voice, speaking in a wise and reflective tone. He sounds calm and somewhat nostalgic. There are no sound effects or music.", "emotions": { "Affection": 1.5117, "Age": 3.707, "Amusement": 1.2148, "Anger": -0.0001,...	androgynous/02_child/ynstz6v7nj	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker expressing intense emotion, including excitement, awe, and a sense of discovery. The speaker sounds passionate and determined. There are no sound effects or music.", "emotions": { "Affection": 0.876, "Age": 2.8926, "Amusement": -0.0006, "Anger...	androgynous/04_young_adult/2o3bs4njx0	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a male speaker expressing a mix of relief, joy, and freedom. The speaker sounds like an adult and is speaking with a slightly theatrical tone. There are no sound effects or music.", "emotions": { "Affection": 1.1133, "Age": 3.4199, "Amusement": 0.2362, "An...	androgynous/04_young_adult/3azk2eu5ip	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a man speaking with enthusiasm and excitement. He is describing his experience hearing bagpipes. The recording quality is decent, and there is no background noise.", "emotions": { "Affection": 2.2832, "Age": 2.4766, "Amusement": 0.6255, "Anger": 0.002, ...	androgynous/04_young_adult/6uad9qejk7	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker reflecting on a past experience. He sounds relieved, grateful, and somewhat emotional. The recording quality is excellent, with no background noise.", "emotions": { "Affection": 0.8633, "Age": 3.084, "Amusement": -0.0006, "Anger": -0.0001, ...	androgynous/04_young_adult/7rll42emh8	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a woman speaking with a mix of frustration, sadness, and a sense of being overwhelmed. She uses a metaphor about drowning in knowledge and expresses exhaustion. The recording quality is very good, and there is no background noise.", "emotions": { "Affection": 0.0072, ...	androgynous/04_young_adult/7wrqdg1mtm	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker reflecting on a past experience. He sounds thoughtful, relieved, and somewhat emotional. The recording is clear with no background noise.", "emotions": { "Affection": 1.4697, "Age": 3.084, "Amusement": -0.0006, "Anger": -0.0001, "Arousal":...	androgynous/04_young_adult/8jeu8e4qt7	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a young woman speaking with a very frustrated and exasperated tone. She sounds emotionally drained and is expressing her feelings about monotonous life. There are no sound effects or music.", "emotions": { "Affection": 0.8062, "Age": 2.2969, "Amusement": 0.3633,...	androgynous/04_young_adult/d17tg427t9	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker expressing awe and wonder. The speaker's tone is dramatic and slightly theatrical. There are no sound effects or music.", "emotions": { "Affection": 0.0072, "Age": 3.2695, "Amusement": -0.0006, "Anger": 0.6587, "Arousal": 2.4395, "Asto...	androgynous/04_young_adult/epm9bf76p6	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "intense concentration, strongly present, with a slightly positive valence, and a slightly excited arousal level. The young adult, with a somewhat masculine presentation, displays a very genuine interest, almost palpable in the audio. There are moments of vocal bursts, perhaps short, sharp intakes of b...	androgynous/04_young_adult/glyiff6i9b	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a man speaking with a frustrated and somewhat defeated tone. He sounds like he is reflecting on his life and feeling trapped. The recording quality is very good, and there is no background noise.", "emotions": { "Affection": 0.0708, "Age": 3.002, "Amusement": -0...	androgynous/04_young_adult/j75j5fzwm5	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a young adult male speaking in a supportive and encouraging tone. He sounds empathetic and genuine, with a slightly informal and conversational style. There are no sound effects or music.", "emotions": { "Affection": 2.4785, "Age": 2.5898, "Amusement": 0.7207,...	androgynous/04_young_adult/lpzh2n7syp	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a man speaking with excitement and enthusiasm. He is describing a positive experience with a colleague. The tone is very expressive and genuine.", "emotions": { "Affection": 0.4941, "Age": 3.0645, "Amusement": 0.9717, "Anger": -0.001, "Arousal": 3.0859, ...	androgynous/04_young_adult/lx76gj0l53	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a man speaking with extreme enthusiasm and excitement. He is describing something he has seen, and his tone is very animated and almost overwhelmed. The recording quality is excellent, and there is no background noise.", "emotions": { "Affection": 0.0094, "Age": 2.3...	androgynous/04_young_adult/obxoiicadd	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A high-quality recording of a male speaker with a warm and slightly theatrical tone, expressing a sense of awe and contentment. The speaker's voice is melodic and expressive, with a slightly low pitch. There are no sound effects or music.", "emotions": { "Affection": 1.1064, "Age": 3.1055, ...	androgynous/04_young_adult/q9iikt0x8l	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar
{ "caption": "A medium-quality recording of a young adult male speaking in a somewhat melancholic and reflective tone. He sounds slightly fatigued and a bit jaded. The recording quality is decent, with no noticeable background noise.", "emotions": { "Affection": 0.0073, "Age": 2.6289, "Amusement": 0.649...	androgynous/04_young_adult/qvuqseg9ds	hf://datasets/laion/reference-voices-enhanced@84ce97cccb8c06c2c7ca00fc6bd658936e140b3d/ai-voices-enhanced.tar

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Reference Voices Enhanced

2,004 AI voice samples enhanced with ClearerVoice-Studio MossFormer2_SE_48K speech enhancement, annotated with Empathic Insight Voice Plus (59 quality + emotion scores).

Dataset Summary

Source: 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

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)
Speech enhancement: Each audio sample processed through ClearerVoice-Studio MossFormer2_SE_48K model for noise suppression and speech clarity improvement at 48kHz
Format conversion: Original MP3 files replaced with enhanced WAV files at 48kHz sample rate
Emotion annotation: All enhanced samples annotated with Empathic Insight Voice Plus, providing 59 scores per sample
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 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

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:

License

CC-BY-4.0

Downloads last month: 22

Number of rows:

1,100

Estimated number of rows:

2,053

Total file size:

9.42 GB