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2020 – today
- 2024
[i5]Soufiyan Bahadi, Eric Plourde, Jean Rouat:
Efficient Sparse Coding with the Adaptive Locally Competitive Algorithm for Speech Classification. CoRR abs/2409.08188 (2024)- 2023
- [j11]Ahmad El Ferdaoussi
, Jean Rouat, Eric Plourde:
Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory. Neuromorph. Comput. Eng. 3(2): 24007 (2023) - [c19]Abir Riahi, Eric Plourde:
Single Channel Speech Enhancement Using U-Net Spiking Neural Networks. CCECE 2023: 111-116 - [c18]Ahmad El Ferdaoussi, Jean Rouat, Eric Plourde:
Optimizing Neuromorphic Spike Encoding of Dynamic Stimulus Signals Using Information Theory. NER 2023: 1-4 - [i4]Abir Riahi, Eric Plourde:
Single Channel Speech Enhancement Using U-Net Spiking Neural Networks. CoRR abs/2307.14464 (2023) - 2022
- [j10]Maryam Hosseini, Luca Celotti, Eric Plourde:
End-to-End Brain-Driven Speech Enhancement in Multi-Talker Conditions. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1718-1733 (2022) - [i3]Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat:
Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory. CoRR abs/2202.09619 (2022) - 2021
- [c17]Maryam Hosseini, Luca Celotti, Eric Plourde:
Speaker-Independent Brain Enhanced Speech Denoising. ICASSP 2021: 1310-1314 - [c16]Soufiyan Bahadi, Jean Rouat, Eric Plourde:
Adaptive Approach for Sparse Representations Using the Locally Competitive Algorithm for Audio. MLSP 2021: 1-6 - [i2]Soufiyan Bahadi, Jean Rouat, Eric Plourde:
Adaptive Approach For Sparse Representations Using The Locally Competitive Algorithm For Audio. CoRR abs/2109.14705 (2021)
2010 – 2019
- 2019
- [c15]Maryam Hosseini, Gerardo Rodriguez, Hongsun Guo, Hubert H. Lim, Eric Plourde:
Novel metrics to measure the effect of additive inputs on the activity of sensory system neurons. EMBC 2019: 5141-5145 - [d1]Marc-Antoine Moinnereau, Kevin Whittingstall, Eric Plourde:
Electroencephalogram (EEG) recordings obtained when simultaneously presenting audio stimulations. IEEE DataPort, 2019
- 2018
- [j9]Hanwook Chung, Roland Badeau, Eric Plourde, Benoît Champagne:
Training and compensation of class-conditioned NMF bases for speech enhancement. Neurocomputing 284: 107-118 (2018) - [c14]Emilien Le Flahat, Jean-Christophe Billard, Eric Plourde:
A Comparison of ECG Waveform Features for the Classification of Normal and Abnormal Heartbeats. CinC 2018: 1-4 - [c13]Hanwook Chung, Eric Plourde, Benoît Champagne:
A Supervised Multi-Channel Speech Enhancement Algorithm Based on Bayesian NMF Model. GlobalSIP 2018: 221-225 - [c12]Hanwook Chung, Taesup Kim, Eric Plourde, Benoît Champagne:
Noise-adaptive Deep Neural Network for single-channel speech enhancement. MLSP 2018: 1-6 - [i1]Marc-Antoine Moinnereau, Thomas Brienne, Simon Brodeur, Jean Rouat, Kevin Whittingstall, Eric Plourde:
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir. CoRR abs/1804.10322 (2018) - 2017
- [j8]Hanwook Chung, Eric Plourde, Benoît Champagne:
Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement. Speech Commun. 87: 18-30 (2017) - [c11]Julien Bosco, Eric Plourde:
Speech enhancement using both spectral and spectral modulation domains. CCECE 2017: 1-4 - [c10]Hanwook Chung, Eric Plourde, Benoît Champagne:
Single-channel enhancement of convolutive noisy speech based on a discriminative NMF algorithm. ICASSP 2017: 2302-2306 - 2016
- [j7]Hanwook Chung, Eric Plourde, Benoît Champagne:
Discriminative Training of NMF Model Based on Class Probabilities for Speech Enhancement. IEEE Signal Process. Lett. 23(4): 502-506 (2016) - [j6]Mohammad Adeli, Jean Rouat, Sean U. N. Wood, Stephane Molotchnikoff, Eric Plourde:
A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 875-889 (2016) - [c9]Hanwook Chung, Eric Plourde, Benoît Champagne:
Basis compensation in non-negative matrix factorization model for speech enhancement. ICASSP 2016: 2249-2253 - 2015
- [j5]Mahdi Parchami, Wei-Ping Zhu, Benoît Champagne, Eric Plourde:
Bayesian STSA estimation using masking properties and generalized Gamma prior for speech enhancement. EURASIP J. Adv. Signal Process. 2015: 87 (2015) - [c8]Golnaz Ghodoosipour, Eric Plourde, Benoît Champagne:
On the use of a codebook-based modeling approach for Bayesian STSA speech enhancement. CCECE 2015: 1277-1282 - [c7]Shadi Siahpoush, Yousof Erfani, Thilo Rode, Hubert H. Lim, Jean Rouat, Eric Plourde:
Improving neural decoding in the central auditory system using bio-inspired spectro-temporal representations and a generalized bilinear model. EMBC 2015: 5146-5150 - [c6]Eric Plourde, Thilo Rode, Hubert H. Lim:
The contribution of trained parameters to the goodness of fit of a Bayesian neural encoding model for the auditory system. NER 2015: 910-913 - 2014
- [c5]Hanwook Chung, Eric Plourde, Benoît Champagne:
Regularized NMF-based speech enhancement with spectral components modeled by gaussian mixtures. MLSP 2014: 1-6 - 2012
- [c4]Eric Plourde, Emery N. Brown:
The effect of different spectro-temporal representations of an input auditory stimulus on the fitting of a point process model of auditory neurons. ISSPA 2012: 782-786 - 2011
- [j4]Eric Plourde, Bertrand Delgutte, Emery N. Brown:
A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal. IEEE Trans. Biomed. Eng. 58(6): 1507-1510 (2011) - [j3]Eric Plourde, Benoît Champagne:
Multidimensional STSA Estimators for Speech Enhancement With Correlated Spectral Components. IEEE Trans. Signal Process. 59(7): 3013-3024 (2011) - 2010
- [c3]Eric Plourde, Benoît Champagne:
A family of Bayesian STSA estimators for the enhancement of speech with correlated frequency components. ICASSP 2010: 4766-4769
2000 – 2009
- 2009
- [j2]Eric Plourde, Benoît Champagne:
Generalized Bayesian Estimators of the Spectral Amplitude for Speech Enhancement. IEEE Signal Process. Lett. 16(6): 485-488 (2009) - 2008
- [j1]Eric Plourde, Benoît Champagne:
Auditory-Based Spectral Amplitude Estimators for Speech Enhancement. IEEE Trans. Speech Audio Process. 16(8): 1614-1623 (2008) - [c2]Eric Plourde, Benoît Champagne:
Perceptually based speech enhancement using the weighted beta-SA estimator. ICASSP 2008: 4193-4196 - 2007
- [c1]Eric Plourde, Benoît Champagne:
Integrating the cochlea's compressive nonlinearity in the Bayesian approach for speech enhancement. EUSIPCO 2007: 70-74
Coauthor Index
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