M
Mirco Ravanelli
Researcher at Université de Montréal
Publications - 82
Citations - 3473
Mirco Ravanelli is an academic researcher from Université de Montréal. The author has contributed to research in topics: Artificial neural network & Deep learning. The author has an hindex of 24, co-authored 70 publications receiving 2118 citations. Previous affiliations of Mirco Ravanelli include fondazione bruno kessler & Université de Sherbrooke.
Papers
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Proceedings ArticleDOI
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli,Yoshua Bengio +1 more
TL;DR: This paper proposes a novel CNN architecture, called SincNet, that encourages the first convolutional layer to discover more meaningful filters, based on parametrized sinc functions, which implement band-pass filters.
Proceedings ArticleDOI
Multi-Task Self-Supervised Learning for Robust Speech Recognition
Mirco Ravanelli,Jianyuan Zhong,Santiago Pascual,Pawel Swietojanski,Joao Monteiro,Jan Trmal,Yoshua Bengio +6 more
TL;DR: PASE+ is proposed, an improved version of PASE that better learns short- and long-term speech dynamics with an efficient combination of recurrent and convolutional networks and learns transferable representations suitable for highly mismatched acoustic conditions.
Journal ArticleDOI
Light Gated Recurrent Units for Speech Recognition
TL;DR: This paper revise one of the most popular RNN models, namely, gated recurrent units (GRUs), and proposes a simplified architecture that turned out to be very effective for ASR, and proposes to replace hyperbolic tangent with rectified linear unit activations.
Proceedings ArticleDOI
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.
TL;DR: This article proposed an improved self-supervised method, where a single neural encoder is followed by multiple workers that jointly solve different selfsupervised tasks, and the needed consensus across different tasks naturally imposes meaningful constraints to the encoder, contributing to discover general representations and to minimize the risk of learning superficial ones.
Proceedings ArticleDOI
The Pytorch-kaldi Speech Recognition Toolkit
TL;DR: The PyTorch-Kaldi project as discussed by the authors aims to bridge the gap between these popular toolkits, trying to inherit the efficiency of Kaldi and the flexibility of Pytorch.