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ASPIRE - Real noisy audio-visual speech enhancement corpus

Gogate, Mandar; Dashtipour, Kia; Adeel, Ahsan; Hussain, Amir


Ahsan Adeel


ASPIRE is a a first of its kind, audiovisual speech corpus recorded in real noisy environment (such as cafe, restaurants) which can be used to support reliable evaluation of multi-modal Speech Filtering technologies. This dataset follows the same sentence format as the audio-visual Grid corpus. The recorded audiovisual speech corpus can be used for reliable evaluation of next generation multi-modal Speech Filtering technologies.

Online Publication Date Nov 1, 2020
Publication Date Nov 1, 2020
Deposit Date Apr 26, 2022
Keywords speech enhancement, speech separation, audio-visual, deep learning
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Collection Date Jun 1, 2018

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