README.md

---
task_categories:
- text-to-speech
language:
- ko
tags:
- Korean
- Speech
- Audio
size_categories:
- 100K<n<1M
---

# CoreaSpeech+

**CoreaSpeech+** is a unified Korean speech dataset repository for text-to-speech research, speech synthesis, validation/test split management, and speech corpus distribution.

This repository organizes the CoreaSpeech dataset family, including the 700-hour CoreaSpeech corpus, additional training data for the 2000-hour configuration, validation data, and the Korean Universal Testset.

## Overview

CoreaSpeech+ is designed to support reproducible Korean speech generation research.

The dataset family consists of:

| Subset | Description | Status |
|---|---|---|
| CoreaSpeech 700h | Base Korean speech corpus selected through the CoreaSpeech pipeline | Available |
| CoreaSpeech 2000h | Logical combined corpus consisting of CoreaSpeech 700h and additional training data | Available |
| Validation | Validation split for Korean TTS training and model selection | Available |
| Korean Universal Testset | Evaluation benchmark with clean, noisy, and numeric subsets | Available |

## Dataset Statistics

| Subset | Audio files | Metadata rows | Text rows | Approx. hours | Notes |
|---|---:|---:|---:|---:|---|
| 700h | 168,790 | 168,790 | 168,000 | 697.65 | Base training subset |
| 2000h | 697,168 | 697,168 | 696,378 | 2,154.03 | Combined set: 700h base + additional training data |
| Validation | 100 | 100 | 100 | - | Validation split |
| Test | 600 wav files | 300 rows | 300 paired rows | - | clean/noisy/numeric, 100 rows each |

## Dataset Composition

### CoreaSpeech 700h

The 700-hour subset corresponds to the base CoreaSpeech corpus.

According to the related paper, CoreaSpeech is a Korean speech corpus constructed through Korean-specific preprocessing and Jamo-based coreset selection. It contains approximately 700 hours of speech, 168,790 samples, and 21,449 speakers.

### CoreaSpeech 2000h

The 2000-hour configuration is a logical combined corpus.

It consists of:

```text
CoreaSpeech 700h
+ additional training data
= CoreaSpeech 2000h
```

To avoid duplicate storage, the 2000h manifest should reference audio files from both:

```text
data/train_700h/
data/train_extra_1300h/
```

rather than storing a separate duplicated `data/train_2000h/` directory.

### Validation

The validation split contains:

| Item | Count |
|---|---:|
| Audio files | 100 |
| Metadata rows | 100 |
| Text rows | 100 |

### Korean Universal Testset

The Korean Universal Testset is organized into three evaluation subsets:

| Test subset | Metadata rows | Audio files | Description |
|---|---:|---:|---|
| clean | 100 | 200 | Clean speech evaluation subset |
| noisy | 100 | 200 | Robustness evaluation subset under noisy acoustic conditions |
| numeric | 100 | 200 | Numeric and special-expression evaluation subset |
| total | 300 | 600 | Korean Universal Testset |

The testset contains 300 metadata rows and 600 wav files in total.

The clean subset evaluates synthesis under relatively clean acoustic conditions.  
The noisy subset evaluates robustness under challenging acoustic conditions.  
The numeric subset evaluates Korean numeric pronunciation, including numerals, floating-point numbers, special symbols, abbreviations, and English-unit expressions.

## Audio Specifications

| Field | Value |
|---|---|
| Audio format | WAV |
| Experimental sampling rate | 24,000 Hz |
| Released sampling rate | To be verified |
| Channels | To be verified |
| Bit depth | To be verified |
| Language | Korean |
| Speaker count | 21,449 speakers for the 700h CoreaSpeech subset |

> Note: The related paper reports that training samples were downsampled to 24 kHz for experiments. The final released audio specification should be verified from the uploaded files.

## Planned Repository Structure

```text
CoreaSpeech-plus/
├── README.md
├── VERSION
├── manifests/
│   ├── 700h.tsv
│   ├── 2000h.tsv
│   ├── validation.tsv
│   └── test.lst
├── data/
│   ├── train_700h/
│   ├── train_extra_1300h/
│   ├── validation/
│   └── test/
└── docs/
    ├── access_policy.md
    ├── dataset_structure.md
    ├── metadata_schema.md
    └── changelog.md
```

## Manifest Design

The manifest files define how each subset should be loaded.

```text
manifests/700h.tsv
```

contains metadata for the 700h base subset.

```text
manifests/extra_1300h.tsv
```

contains metadata for the additional training data used to construct the 2000h configuration.

```text
manifests/2000h.tsv
```

contains the combined metadata for the full 2000h configuration.
This manifest references files from both data/train_700h/ and data/train_extra_1300h/.

```text
manifests/validation.tsv
```

contains metadata for the validation split.

```text
manifests/test.lst
```

contains paired metadata for the Korean Universal Testset.

## WebDataset-style Archive Format

Large-scale audio files are distributed as TAR shards.

Example structure:

```text
data/train_700h/
├── train_700h-000000.tar
├── train_700h-000001.tar
└── ...

data/train_extra_1300h/
├── train_extra_1300h-000000.tar
├── train_extra_1300h-000001.tar
└── ...

data/validation/
├── validation-000000.tar
└── ...

data/test/
├── test_clean-000000.tar
├── test_noisy-000000.tar
└── test_numeric-000000.tar
```

Each TAR shard should contain audio files and corresponding metadata entries with aligned sample prefixes:

```text
train_700h-000000.tar
├── 000000000.wav
├── 000000000.json
├── 000000001.wav
├── 000000001.json
└── ...
```

For the testset, each metadata row may correspond to paired audio files depending on the evaluation protocol.

Example:

```text
test_clean-000000.tar
├── clean_000000_prompt.wav
├── clean_000000_target.wav
├── clean_000000.json
├── clean_000001_prompt.wav
├── clean_000001_target.wav
├── clean_000001.json
└── ...
```

## Metadata Schema

CoreaSpeech+ provides metadata in tabular formats rather than JSON schema files.

Training and validation metadata are provided as TSV files, while the Korean Universal Testset follows a paired-list format.

### Training Metadata: 700h

The 700h metadata is provided as a TSV file.

Recommended file:

```text
manifests/700h.tsv
```

Columns:

| Column | Type | Description |
|---|---|---|
| `relpath` | string | Relative path to the audio file |
| `duration` | float | Audio duration in seconds |
| `text` | string | Transcription text |
| `source` | string | Optional source or partition identifier |

Recommended format:

```text
relpath	duration	text	source
data/train_700h/train_700h-000000.tar/000000000.wav	3.42	한국어 전사 문장	source_name
```

If `source` contains internal or sensitive provenance information, it may be omitted from the public manifest.

### Training Metadata: 2000h

The 2000h metadata is provided as a TSV file.

Recommended file:

```text
manifests/2000h.tsv
```

The 2000h split is a logical combined corpus consisting of the 700h base subset and additional training data. Therefore, the metadata should include `dataset_part` to indicate which subset each sample belongs to.

Columns:

| Column | Type | Description |
|---|---|---|
| `relpath` | string | Relative path to the audio file |
| `duration` | float | Audio duration in seconds |
| `text` | string | Transcription text |
| `dataset_part` | string | Subset identifier, such as `coreaspeech_700h` or `coreaspeech_extra_1300h` |
| `source` | string | Optional source or partition identifier |

Recommended format:

```text
relpath	duration	text	dataset_part	source
data/train_700h/train_700h-000000.tar/000000000.wav	3.42	한국어 전사 문장	coreaspeech_700h	source_name
data/train_extra_1300h/train_extra_1300h-000000.tar/000000000.wav	4.18	추가 학습 데이터 문장	coreaspeech_extra_1300h	source_name
```

The `2000h.tsv` manifest should reference files from both:

```text
data/train_700h/
data/train_extra_1300h/
```

This avoids duplicate storage while preserving the logical 2000h training configuration.

### Validation Metadata

The validation metadata is provided as a TSV file.

Recommended file:

```text
manifests/validation.tsv
```

Columns:

| Column | Type | Description |
|---|---|---|
| `relpath` | string | Relative path to the validation audio file |
| `duration` | float | Audio duration in seconds |
| `text` | string | Transcription text |

Recommended format:

```text
relpath	duration	text
data/validation/validation-000000.tar/000000000.wav	3.57	검증용 한국어 문장
```

### Korean Universal Testset Metadata

The Korean Universal Testset follows a paired metadata format.

Recommended file:

```text
manifests/test.lst
```

Format:

```text
prompt_wav|prompt_duration|prompt_text|target_wav|target_duration|target_text
```

Columns:

| Column | Type | Description |
|---|---|---|
| `prompt_wav` | string | Relative path to the prompt/reference audio |
| `prompt_duration` | float | Prompt audio duration in seconds |
| `prompt_text` | string | Text corresponding to the prompt audio |
| `target_wav` | string | Relative path to the target audio |
| `target_duration` | float | Target audio duration in seconds |
| `target_text` | string | Target text for evaluation |

Recommended format:

```text
data/test/clean/clean_000000_prompt.wav|3.12|프롬프트 문장|data/test/clean/clean_000000_target.wav|4.21|합성 대상 문장
```

The testset consists of three subsets:

| Subset | Rows | WAV files | Description |
|---|---:|---:|---|
| clean | 100 | 200 | Clean speech evaluation subset |
| noisy | 100 | 200 | Noisy speech evaluation subset |
| numeric | 100 | 200 | Numeric and special-expression evaluation subset |
| total | 300 | 600 | Korean Universal Testset |

If the test metadata is stored as a single file, the subset can be inferred from the file path, such as `data/test/clean/`, `data/test/noisy/`, and `data/test/numeric/`.

## Access Policy

CoreaSpeech+ is distributed under controlled access due to licensing, copyright, and research-use restrictions.

Users may be required to provide:

- Name
- Affiliation
- Email
- Intended use
- Agreement to the terms of use

Access may be approved, rejected, or revoked by the maintainer.

## Intended Use

CoreaSpeech+ is intended for academic and non-commercial research, including:

- Korean text-to-speech model training
- Korean speech synthesis research
- Multi-speaker TTS research
- Low-resource or cross-lingual speech generation experiments
- Speech corpus analysis and preprocessing
- Validation and evaluation of Korean TTS systems

## Prohibited Use

The dataset must not be used for:

- Redistribution of the original audio files
- Commercial services without explicit permission
- Speaker impersonation or identity misuse
- Fraud, misinformation, or harmful applications
- Any use that violates copyright, privacy, or institutional policies

## Download

After access is approved, users can download the repository with the Hugging Face CLI:

```bash
huggingface-cli login

huggingface-cli download Gong1212/CoreaSpeech-plus \
  --repo-type dataset \
  --local-dir ./CoreaSpeech-plus
```

Or with Python:

```python
from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="Gong1212/CoreaSpeech-plus",
    repo_type="dataset",
    local_dir="./CoreaSpeech-plus"
)
```

## Related Paper

CoreaSpeech+ is organized as a unified Hugging Face repository for managing and distributing Korean speech resources related to CoreaSpeech.

If you use this dataset, please cite the related paper:

```bibtex
@article{kwon2026coreaspeech,
  title={CoreaSpeech: Korean Speech Corpus via Jamo-based Coreset Selection for Efficient and Robust Korean Speech Generation},
  author={Kwon, Ki-Joong and So, Junho and Lee, Sang-Hoon},
  journal={Advances in Neural Information Processing Systems},
  volume={38},
  year={2026}
}
```