| --- |
| license: other |
| license_name: mixed-see-license-section |
| task_categories: |
| - audio-to-audio |
| language: |
| - en |
| - ko |
| tags: |
| - speech-separation |
| - source-separation |
| - cocktail-party |
| - bilingual |
| - english |
| - korean |
| - speech |
| pretty_name: MuSSeD Multilingual Speech Separation Dataset |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| - config_name: 2spk |
| features: |
| - name: audio |
| dtype: audio |
| - name: file_id |
| dtype: string |
| - name: speaker_type |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2161230124 |
| num_examples: 10000 |
| - name: dev |
| num_bytes: 281341657.3 |
| num_examples: 1300 |
| - name: test |
| num_bytes: 288195834.9 |
| num_examples: 1300 |
| download_size: 2704697738 |
| dataset_size: 2730767616.2000003 |
| - config_name: 3spk |
| features: |
| - name: audio |
| dtype: audio |
| - name: file_id |
| dtype: string |
| - name: speaker_type |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2608317239 |
| num_examples: 10000 |
| - name: dev |
| num_bytes: 337024379.8 |
| num_examples: 1300 |
| - name: test |
| num_bytes: 331952820.8 |
| num_examples: 1300 |
| download_size: 3196579806 |
| dataset_size: 3277294439.6000004 |
| - config_name: 4spk |
| features: |
| - name: audio |
| dtype: audio |
| - name: file_id |
| dtype: string |
| - name: speaker_type |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2958162977 |
| num_examples: 10000 |
| - name: dev |
| num_bytes: 378898175.9 |
| num_examples: 1300 |
| - name: test |
| num_bytes: 375917477.9 |
| num_examples: 1300 |
| download_size: 3610134728 |
| dataset_size: 3712978630.8 |
| configs: |
| - config_name: 2spk |
| data_files: |
| - split: train |
| path: 2spk/train-* |
| - split: dev |
| path: 2spk/dev-* |
| - split: test |
| path: 2spk/test-* |
| - config_name: 3spk |
| data_files: |
| - split: train |
| path: 3spk/train-* |
| - split: dev |
| path: 3spk/dev-* |
| - split: test |
| path: 3spk/test-* |
| - config_name: 4spk |
| data_files: |
| - split: train |
| path: 4spk/train-* |
| - split: dev |
| path: 4spk/dev-* |
| - split: test |
| path: 4spk/test-* |
| --- |
| |
| # MuSSeD: Multilingual Speech Separation Dataset (English, Korean) |
|
|
| A bilingual **speech-separation** corpus of synthetic multi-speaker mixtures built from |
| English ([LibriTTS-R](https://www.openslr.org/141/)) and Korean read-speech sources ([AI-Hub Multi-Speaker Speech Synthesis corpus](https://www.aihub.or.kr/aihubdata/data/view.do?dataSetSn=542)). |
| Each mixture concatenates/overlaps **2, 3, or 4** single-speaker utterances, and every |
| mixture ships with rich per-speaker JSON metadata (speaker id, gender, language, |
| timing, transcription, overlap ratio, source utterance id). |
|
|
| - **Audio:** 16 kHz, mono, 16-bit PCM WAV |
| - **Mixtures:** 37,800 total — 30,000 train / 3,900 dev / 3,900 test |
| - **Speaker counts:** 2spk, 3spk, 4spk |
| - **Total duration:** ≈ 82.5 h (train ≈ 65.4 h, dev ≈ 8.5 h, test ≈ 8.6 h) |
| - **Languages:** English (`ENG`) + Korean (`KOR`), including bilingual mixtures |
| - **Speakers:** 514 speakers |
|
|
| --- |
|
|
| ## Reliability & Verification |
|
|
| MuSSeD is built for leakage-free, representative evaluation: splits are speaker-disjoint, |
| dev/test mirror the train distribution, overlap spans the full difficulty range, and every mixture ships with complete |
| per-speaker ground truth — each property is summarized below. |
|
|
| ### 1. Speaker-disjoint splits |
|
|
| Speaker identity is parsed directly from the mixture filename (the token after each |
| `EN_`/`KO_` tag) and cross-checked between splits. |
|
|
| | Split | Unique speakers | |
| |-------|----------------:| |
| | train | 326 | |
| | dev | 100 | |
| | test | 88 | |
| | **total** | **514** (322 EN + 192 KO) | |
|
|
| ### 2. Representative splits |
|
|
| The dev and test splits follow the same distributions as train for the properties |
| that matter for separation difficulty — bilingual share and overlap share are nearly |
| identical across splits, so validation/test numbers are representative of the training |
| distribution. |
|
|
| <img src="./figure/split_consistency.png" width="75%"> |
|
|
| ### 3. Controlled, full-range overlap |
|
|
| Overlap is not concentrated at one difficulty. Mixtures span the full range from |
| clean (no overlap) to fully overlapped, with the harder end growing as speaker count |
| increases (2-4 spk), which is the expected and desired behaviour. |
|
|
| <img src="./figure/overlap_distribution.png" width="70%"> |
|
|
| ### 4. Metadata |
|
|
| Every mixture has a paired JSON with per-speaker ground truth, |
| enabling exact, reproducible analysis of language / gender / overlap / timing. |
|
|
| --- |
|
|
| ## Composition |
|
|
| The share of bilingual mixtures grows with speaker count, while English-only / |
| Korean-only mixtures remain represented at every count: |
|
|
| <img src="./figure/language_composition.png" width="65%"> |
|
|
| Across the 514 unique speakers, the male / female balance is: |
|
|
| <img src="./figure/gender_ratio.png" width="65%"> |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| ``` |
| MuSSeD-EnKo/ |
| ├── train/ {2spk,3spk,4spk}/ |
| │ ├── raw/ <mixture_id>.wav |
| │ └── json/ <mixture_id>.json |
| ├── dev/ {2spk,3spk,4spk}/ {raw,json}/ |
| └── test/ {2spk,3spk,4spk}/ {raw,json}/ |
| ``` |
|
|
| **Filename convention.** A mixture filename is the concatenation of its source |
| utterance ids, each of the form `EN_<spk>_...` or `KO_<spk>_...` — e.g. a 4spk file |
| `KO_5801_..._KO_5487_..._KO_5495_..._KO_5396_....wav` encodes speakers KO_5801, |
| KO_5487, KO_5495, KO_5396. |
|
|
| ### JSON |
|
|
| ```json |
| { |
| "mixture_id": "EN_260_123286_000027_000001_EN_4992_41806_000003_000002", |
| "speaker_count": 2, |
| "overlapped_ratio": 0.0, |
| "total_length_sec": 14.44, |
| "speakers": [ |
| { |
| "speaker_id": "260", |
| "speaker_name": "Brad Bush", |
| "gender": "Male", |
| "language": "ENG", |
| "length_sec": 2.48, |
| "start_time_sec": 0.0, |
| "end_time_sec": 2.48, |
| "transcription": "I had rather not disturb him while he is quiet.", |
| "original_file_id": "/test-clean/260/123286/260_123286_000027_000001" |
| } |
| ] |
| } |
| ``` |
|
|
| --- |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| import json |
| |
| # config = "2spk" | "3spk" | "4spk" |
| ds = load_dataset("syshim/MuSSeD-EnKo", "2spk", split="test") |
| |
| ex = ds[0] |
| audio = ex["audio"] # {"array": np.ndarray, "sampling_rate": 16000} |
| meta = json.loads(ex["meta"]) # per-mixture ground truth |
| n_src = meta["speaker_count"] |
| overlap = meta["overlapped_ratio"] |
| langs = [s["language"] for s in meta["speakers"]] |
| # ... train / evaluate your separation model ... |
| ``` |
|
|
| --- |
|
|
| ## License |
|
|
| This dataset is derived from multiple sources: |
|
|
| - **English audio** originates from **LibriTTS-R** (CC BY 4.0). |
| - **Korean audio** originates from a Multi-speaker Speech Synthesis Data by National Information Society Agency (NIA) |
|
|
| Because of these mixed terms the top-level tag is set to `other`. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite LibriTTS-R, the Korean source corpus, and this release: |
| ```bibtex |
| @misc{mousse2026, |
| title = {MOUSSE: MULTILINGUALOVERLAPPEDSPEECHSEPARATIONWITHPREDICTIVE UNCERTAINTYESTIMATION}, |
| year = {2026} |
| } |
| ``` |
|
|
