514 citations · 1.4k across the 79 of their papers we have counts for
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BIRD: Big Impulse Response Dataset
François Grondin, Jean-Samuel Lauzon, Simon Michaud +2
This paper introduces BIRD, the Big Impulse Response Dataset. This open dataset consists of 100,000 multichannel room impulse responses (RIRs) generated from simulations using the…
Attention is All You Need in Speech Separation
Cem Subakan, Mirco Ravanelli, Samuele Cornell +2
Recurrent Neural Networks (RNNs) have long been the dominant architecture in sequence-to-sequence learning. RNNs, however, are inherently sequential models that do not allow parall…
Quaternion Neural Networks for Multi-channel Distant Speech Recognition
Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli +2
Despite the significant progress in automatic speech recognition (ASR), distant ASR remains challenging due to noise and reverberation. A common approach to mitigate this issue con…
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual +4
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 recentl…