CoVoST 2 Persian - English

Description

This dataset contains 60842 audio clips totalling 50:27:54 of audio in Persian 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_fa_19388185.mp3	الآن وقت مناسبی است که صحبت کنیم؟	Is it a good time to talk right now?	dcdbaaacaca64a63d227af90cc954dbc3aefc280e5a71963ba3793a676a3d057c801cc3e5e4ad654b027291b85037c29dc9c82154ffed15e2d6709e7d6c1b7e2
common_voice_fa_19388186.mp3	حتماً شوخی می کنی!	For sure, you're kidding.	dcdbaaacaca64a63d227af90cc954dbc3aefc280e5a71963ba3793a676a3d057c801cc3e5e4ad654b027291b85037c29dc9c82154ffed15e2d6709e7d6c1b7e2
common_voice_fa_19388187.mp3	ترافیک امروز وحشتناک بود.	The traffic was terrible today.	dcdbaaacaca64a63d227af90cc954dbc3aefc280e5a71963ba3793a676a3d057c801cc3e5e4ad654b027291b85037c29dc9c82154ffed15e2d6709e7d6c1b7e2
common_voice_fa_19388188.mp3	برای فاصله چه نوشیدنی سفارش بدهیم؟	What drink should we order for the road?	dcdbaaacaca64a63d227af90cc954dbc3aefc280e5a71963ba3793a676a3d057c801cc3e5e4ad654b027291b85037c29dc9c82154ffed15e2d6709e7d6c1b7e2

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}
}