CoVoST 2 Italian - English

Description

This dataset contains 49592 audio clips totalling 67:06:34 of audio in Italian with the corresponding translations in English.

Background

End-to-end speech-to-text translation (ST) has recently witnessed an increased interest given its system simplicity, lower inference latency and less compounding errors compared to cascaded ST (i.e. speech recognition + machine translation). End-to-end ST model training, however, is often hampered by the lack of parallel data. Thus, we created CoVoST, a large-scale multilingual ST corpus based on Common Voice, to foster ST research with the largest ever open dataset. Its latest version covers translations from English into 15 languages---Arabic, Catalan, Welsh, German, Estonian, Persian, Indonesian, Japanese, Latvian, Mongolian, Slovenian, Swedish, Tamil, Turkish, Chinese---and from 21 languages into English, including the 15 target languages as well as Spanish, French, Italian, Dutch, Portuguese, Russian. It has total 2,880 hours of speech and is diversified with 78K speakers.

Fields

• path: Filename of the audio file

• sentence: The sentence in the source language

• translation: The sentence in the target language

• client_id: The ID of the speaker of the source language, used for maintaining hygiene in the splits.

Example

path	sentence	translation	client_id
common_voice_it_19574384.mp3	"Questi programmi vengono spesso associati all'indicazione no-copyright."	These programs are often linked to a no-copyright specification.	fc8c6afbbf7bce3e54f50873ffca4d825264186281dfe5316a8ebd7fcd1d6d49b8f14de4814cc2d2b8ce660a777e265838d08aabc547c62435da55461b708a4d
common_voice_it_19574386.mp3	Ognuno è libero di leggere, correggere e trasformare il codice.	Everyone’s free to read, correct and transform the code.	fc8c6afbbf7bce3e54f50873ffca4d825264186281dfe5316a8ebd7fcd1d6d49b8f14de4814cc2d2b8ce660a777e265838d08aabc547c62435da55461b708a4d
common_voice_it_19574387.mp3	Noi possiamo benissimo non ritrovarci in quello che facciamo.	Of course we are happy about what we do.	fc8c6afbbf7bce3e54f50873ffca4d825264186281dfe5316a8ebd7fcd1d6d49b8f14de4814cc2d2b8ce660a777e265838d08aabc547c62435da55461b708a4d
common_voice_it_19574474.mp3	Ben degna di ammirazione.	Truly worthy of admiration.	fc8c6afbbf7bce3e54f50873ffca4d825264186281dfe5316a8ebd7fcd1d6d49b8f14de4814cc2d2b8ce660a777e265838d08aabc547c62435da55461b708a4d

Splits

Citation

If you use this dataset in your work please cite

@misc{wang2020covost,
    title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},
    author={Changhan Wang and Anne Wu and Juan Pino},
    year={2020},
    eprint={2007.10310},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}