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--- |
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license: cc-by-nc-sa-2.0 |
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task_categories: |
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- text-to-speech |
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- audio-to-audio |
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- automatic-speech-recognition |
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language: |
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- en |
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- zh |
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tags: |
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- code-switch |
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- english |
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- chinese |
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- cross-lingual |
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pretty_name: NovaLingua |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 24000 |
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- name: speaker_id |
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dtype: int64 |
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- name: transcription |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 7975869553.0 |
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num_examples: 15000 |
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download_size: 7716781499 |
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dataset_size: 7975869553.0 |
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--- |
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# LinguaNova : massive multilingual dataset with double and triple code switching |
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LinguaNova-en-zh is a subpart of __LinguaNova__. |
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__LinguaNova-en-zh__ only supports Mandarin, English and double code-switch (en ; zh / zh ; en). |
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<div align="center"><img width="400px" src="https://play-lh.googleusercontent.com/Y0lZddPVEp827mMb48DZVj9A7QEXT1aoB_6Uuai5T8WEE26kuyceF5dLkTYA94PQ_Hk=w480-h960" alt="English chinese illustration" /></div> |
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## Key points of __LinguaNova__ : |
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- supports enough languages to cover 50% of the world's native speakers (not to mention second languages). |
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- double code-switch; triple code-switch |
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- High speech quality (dnsmos >= 3.0 ), artifact-free. Ideal for TTS. |
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- Wide variety of speakers. |
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- Many of the speeches are emotive and annotated. |
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## ☕ Support and Contact |
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If you find this dataset useful and would like to support my work, you can do it via Ko-fi: |
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<p align="center"> |
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<a href="https://ko-fi.com/thomcles" target="_blank" rel="noopener noreferrer"> |
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<img src="https://storage.ko-fi.com/cdn/kofi3.png?v=3" alt="Buy Me a Coffee at ko-fi.com" width="200" rel="noopener noreferrer"/> |
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</a> |
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</p> |
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Custom dataset or accessing Nova-Lingua or somethin similar ? |
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e-mail : [email protected] |
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