CoVoST 2 Welsh - English

Description

This dataset contains 2624 audio clips totalling 03:16:08 of audio in Welsh 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_cy_17784505.mp3	"Mae'r cyswllt gwe wedi torri."	The internet connection has broken.	1993bf5cfc25f448fcb238c20e777e42b8e4e777b56d14b3b09fe4e1c72202cc6ef981212c7623aa7eb55ec8376c5403302e5cde4cb4c0b84195cf7e22be66e7
common_voice_cy_17784509.mp3	Problemau traffig o fath newydd yn yr Eisteddfod.	A new kind of traffic problems in the Eisteddfod.	1993bf5cfc25f448fcb238c20e777e42b8e4e777b56d14b3b09fe4e1c72202cc6ef981212c7623aa7eb55ec8376c5403302e5cde4cb4c0b84195cf7e22be66e7
common_voice_cy_17784518.mp3	Lecwydd, Rwsiaidd, uchafswm, ffiwsia, mhen, mêts, lleill, lleoedd	Lecwith, Russian, maximum, fuscia, (my) head, mates, others, places	1993bf5cfc25f448fcb238c20e777e42b8e4e777b56d14b3b09fe4e1c72202cc6ef981212c7623aa7eb55ec8376c5403302e5cde4cb4c0b84195cf7e22be66e7
common_voice_cy_17784521.mp3	Bydd y materion hyn yn effeithio ar hyd ei ddedfryd.	These matters will impact his judgment.	1993bf5cfc25f448fcb238c20e777e42b8e4e777b56d14b3b09fe4e1c72202cc6ef981212c7623aa7eb55ec8376c5403302e5cde4cb4c0b84195cf7e22be66e7

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}
}