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Multi-Task Self-Supervised Learning For Robust Speech Recognition

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IEEE ICASSP 2020 Virtual Conference May 2020

Despite the growing interest in unsupervised learning, extracting meaningful knowledge from unlabelled audio remains an open challenge. To take a step in this direction, we recently proposed a problem-agnostic speech encoder (PASE), that combines a convol

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Multi-Task Self-Supervised Learning For Robust Speech Recognition

00:01:40

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Despite the growing interest in unsupervised learning, extracting meaningful knowledge from unlabelled audio remains an open challenge. To take a step in this direction, we recently proposed a problem-agnostic speech encoder (PASE), that combines a convol

Multi-Task Self-Supervised Learning For Robust Speech Recognition

00:15:30

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Despite the growing interest in unsupervised learning, extracting meaningful knowledge from unlabelled audio remains an open challenge. To take a step in this direction, we recently proposed a problem-agnostic speech encoder (PASE), that combines a convol