CoVoST 2 Spanish - English

Description

This dataset contains 105460 audio clips totalling 143:03:25 of audio in Spanish 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\tsentence\ttranslation\tclient_id\n', 'common_voice_es_19742144.mp3\tTras su lanzamiento ha recibido positivas reseñas por parte de la crítica especializada.\tAfter its release, it has received positive feedback from expert critics.\t434506bc3f04b27f5c2dbd2fdcf3217c1e3f9da1243bc9f427857471d2f06c3e221b3f5f667f57e8d67f9ae54aa099f28243ffac97ddaf57d232db0846807ec2\n', 'common_voice_es_19742146.mp3\tLas hojas se secan a la sombra, en un lugar aireado.\tLeaves are dried in the shade, in a ventilated place.\t434506bc3f04b27f5c2dbd2fdcf3217c1e3f9da1243bc9f427857471d2f06c3e221b3f5f667f57e8d67f9ae54aa099f28243ffac97ddaf57d232db0846807ec2\n', 'common_voice_es_19742323.mp3\tPor este motivo no pudo integrar la selección de su país.\tFor this reason, he could not be part of his country’s national team.\t434506bc3f04b27f5c2dbd2fdcf3217c1e3f9da1243bc9f427857471d2f06c3e221b3f5f667f57e8d67f9ae54aa099f28243ffac97ddaf57d232db0846807ec2\n', 'common_voice_es_19742324.mp3\tEs profundo y navegable sin problemas a medio canal.\tThe middle of the channel is deep and you can navigate without any problem.\t434506bc3f04b27f5c2dbd2fdcf3217c1e3f9da1243bc9f427857471d2f06c3e221b3f5f667f57e8d67f9ae54aa099f28243ffac97ddaf57d232db0846807ec2\n']

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}
}