| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-to-speech |
| language: |
| - en |
| source_datasets: |
| - mythicinfinity/libritts_r |
| tags: |
| - voice-cloning |
| - tts |
| - reference-voices |
| - libritts |
| size_categories: |
| - 1K<n<10K |
| pretty_name: radiotalk-voices-2k |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/shard-*.parquet |
| --- |
| |
| # radiotalk-voices-2k |
|
|
| 2,000 English reference voices — one 12–30s clip per speaker, selected as the longest qualifying utterance per speaker from [LibriTTS-R](https://huggingface.co/datasets/mythicinfinity/libritts_r). Built for zero-shot TTS voice cloning in the [radiotalk](https://github.com/twangodev/radiotalk) pipeline. |
|
|
| ## Stats |
|
|
| - 2,000 voices · 12.03 hours total |
| - Duration: min 12.0s · median 21.8s · mean 21.7s · max 30.0s |
| - 24 kHz, mono, FLAC-encoded |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `voice_id` | string | Stable 12-hex-char id, derived from `(source, source_speaker_id)` | |
| | `audio` | Audio | FLAC bytes at 24 kHz (Hub viewer plays inline) | |
| | `text` | string | Normalized transcript from LibriTTS-R (`text_normalized`) | |
| | `source_clip_id` | string | Utterance id in LibriTTS-R, format `{speaker}_{chapter}_{section}_{utterance}` | |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("twangodev/radiotalk-voices-2k", split="train") |
| row = ds[0] |
| print(row["voice_id"], row["text"][:60]) |
| audio = row["audio"] # {"array": np.ndarray, "sampling_rate": 24000, "path": ...} |
| ``` |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite both this repository and the upstream LibriTTS-R corpus. |
|
|
| ```bibtex |
| @misc{ding2026radiotalk, |
| author = {Ding, James}, |
| title = {{radiotalk}: Data pipeline and reference voice pool for TTS}, |
| year = {2026}, |
| howpublished = {\url{https://github.com/twangodev/radiotalk}}, |
| } |
| |
| @inproceedings{koizumi2023libritts, |
| title = {{LibriTTS-R}: A Restored Multi-Speaker Text-to-Speech Corpus}, |
| author = {Koizumi, Yuma and Zen, Heiga and Karita, Shigeki and Ding, Yifan and Yatabe, Kohei and Morioka, Nobuyuki and Bacchiani, Michiel and Zhang, Yu and Han, Wei and Bapna, Ankur}, |
| booktitle = {Proc. Interspeech}, |
| year = {2023}, |
| } |
| ``` |
|
|
| ## License |
|
|
| All clips are derived from LibriTTS-R, licensed **CC BY 4.0**. This dataset inherits that license. See `NOTICE.md` for the full source attribution. |
|
|
