README.md

---
license: cc-by-nc-sa-2.0
task_categories:
- text-to-speech
- audio-to-audio
- automatic-speech-recognition
language:
- en
- zh
tags:
- code-switch
- english
- chinese
- cross-lingual
pretty_name: NovaLingua
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 24000
  - name: speaker_id
    dtype: int64
  - name: transcription
    dtype: string
  splits:
  - name: train
    num_bytes: 7975869553.0
    num_examples: 15000
  download_size: 7716781499
  dataset_size: 7975869553.0
---

# LinguaNova : massive multilingual dataset with double and triple code switching

LinguaNova-en-zh is a subpart of __LinguaNova__.

__LinguaNova-en-zh__ only supports Mandarin, English and double code-switch (en ; zh / zh ; en).

<div align="center"><img width="400px" src="https://play-lh.googleusercontent.com/Y0lZddPVEp827mMb48DZVj9A7QEXT1aoB_6Uuai5T8WEE26kuyceF5dLkTYA94PQ_Hk=w480-h960" alt="English chinese illustration" /></div>

## Key points of __LinguaNova__ :
- supports enough languages to cover 50% of the world's native speakers (not to mention second languages). 
- double code-switch; triple code-switch
- High speech quality (dnsmos >= 3.0 ), artifact-free. Ideal for TTS.
- Wide variety of speakers.
- Many of the speeches are emotive and annotated.

## ☕ Support and Contact

If you find this dataset useful and would like to support my work, you can do it via Ko-fi:

<p align="center">
  <a href="https://ko-fi.com/thomcles" target="_blank" rel="noopener noreferrer">
    <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"/>
  </a>
</p>

Custom dataset or accessing Nova-Lingua or somethin similar ?
e-mail : [email protected]