Emilia

Large-scale Multilingual Voice Generation Dataset

CommonProductOthersVoice DatasetMultilingual

Emilia is an open-source multilingual field voice dataset specifically designed for large-scale voice generation research. It includes over 10,100 hours of high-quality voice data in six languages with corresponding text transcriptions, covering a variety of speaking styles and content types such as stand-up comedy, interviews, debates, sports commentary, and audiobooks.

Provides over 10
100 hours of high-quality voice data in six languages
Includes voice and text transcriptions in Chinese
English
Japanese
Korean
German
and French
Derived from diverse online video platforms and podcasts with a rich variety of content
Supports preprocessing using the open-source Emilia-Pipe pipeline

\The Emilia dataset is designed for scholars and researchers engaged in large-scale voice generation studies
particularly professionals focusing on multilingual voice synthesis and speech recognition technologies.\

Develop multilingual voice synthesis systems
Serve as a training dataset to improve the accuracy of speech recognition algorithms
Used for language learning and voice teaching in educational settings

1. Visit the Emilia dataset page and agree to the terms of use
2. Download the required original audio files
3. Preprocess the data using the Emilia-Pipe preprocessing pipeline
4. Reconstruct the dataset according to research needs
5. Utilize preprocessed data for voice generation or other related research

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Emilia Visit Over Time

Monthly Visits

21315886

Bounce Rate

45.50%

Page per Visit

5.2

Visit Duration

00:05:02

Emilia Visit Trend

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