laion/clustered-reference-voices

Clustered Reference Voices (EMOLIA 3K)

3,000 enhanced reference voice MP3s — one high-quality representative sample per speaker cluster, selected and scored by a multi-expert neural quality model.

Overview

Property	Value
Total clips	3,000
Total duration	11.3 hours
Mean duration	13.5 s (range: 3.5 – 29.9 s)
Format	MP3, 192 kbps, 48 kHz
Language	English
Naming	{cluster_id}.mp3 (0 – 2999)

Source

The source data is laion/emolia-3k-speaker-clusters, which contains 3,000 speaker clusters with approximately 20 samples each (59,977 total utterances). Clusters were produced by grouping speaker embeddings from a diverse collection of English speech.

Processing Pipeline

Each of the 59,977 source utterances was processed through a two-stage pipeline:

1. Speech Enhancement — ClearerVoice MossFormer2_SE_48K

All audio was enhanced at 48 kHz using the MossFormer2_SE_48K speech enhancement model. This removes background noise, music, reverb, and other non-speech artifacts while preserving the natural characteristics of the speaker's voice.

2. Quality Scoring — Empathic Insight Voice Plus

Enhanced audio was scored by the Empathic Insight Voice Plus model, which employs 59 MLP expert heads on top of Whisper encoder embeddings. The model produces multiple quality dimensions:

Score	Description
overall_quality	Composite quality score (primary selection criterion)
speech_quality	Clarity and naturalness of speech
background_quality	Absence of background noise / artifacts
content_enjoyment	Engaging and well-articulated content

3. Selection — Top Sample per Cluster

For each of the 3,000 speaker clusters, the single sample with the highest overall_quality score was selected as the cluster's representative reference voice.

Quality Statistics

Metric	Overall Quality	Speech Quality	Background Quality	Content Enjoyment
Mean	3.114	1.873	3.766	4.846
Std	0.102	0.085	0.110	0.184
Min	2.744	1.588	3.070	3.853
Max	3.469	2.182	4.344	5.398

Dataset Files

File	Description	Size
audio.tar.gz	All 3,000 MP3 files	~910 MB
metadata.parquet	Quality scores and metadata for all clips	~500 KB
gallery.html	Interactive HTML gallery with embedded base64 audio, sortable columns, and search	~5.5 MB

Metadata Schema (parquet)

Column	Type	Description
cluster_id	int64	Speaker cluster index (0–2999)
overall_quality	float64	Composite quality score
speech_quality	float64	Speech clarity / naturalness score
background_quality	float64	Background cleanliness score
content_enjoyment	float64	Content engagement score
duration	float64	Duration in seconds
text	string	Transcript text
sample_id	string	Original sample identifier
cosine_similarity	float64	Cosine similarity of sample's speaker embedding to cluster centroid

Intended Uses

• TTS reference voices: High-quality, diverse speaker references for text-to-speech systems
• Voice cloning: Clean, enhanced single-speaker clips suitable as cloning targets
• Speaker verification benchmarks: One representative per cluster for speaker ID tasks
• Quality filtering research: Studying the relationship between quality scores and perceptual quality

Interactive Gallery

The included gallery.html file provides a self-contained, browser-based interface to explore all 3,000 samples. Features:

• Embedded base64 audio playback (no server required)
• Sortable columns (click any header)
• Full-text search across cluster IDs and transcripts
• Quality score display for all dimensions

Citation

@dataset{clustered_reference_voices_2026,
  title={Clustered Reference Voices (EMOLIA 3K)},
  author={LAION},
  year={2026},
  url={https://huggingface.co/datasets/laion/clustered-reference-voices}
}

License

This dataset is released under the CC-BY-4.0 license.