Integrating the cochlea's compressive nonlinearity in the Bayesian approach for speech enhancement. - Eric Plourde; Benoît Champagne 001 (EUSIPCO, 2007)

Perceptually based speech enhancement using the weighted beta-SA estimator. - Eric Plourde; Benoît Champagne 001 (ICASSP, 2008)

Auditory-Based Spectral Amplitude Estimators for Speech Enhancement. - Eric Plourde; Benoît Champagne 001 (IEEE Trans. Speech Audio Process., 2008)

Generalized Bayesian Estimators of the Spectral Amplitude for Speech Enhancement. - Eric Plourde; Benoît Champagne 001 (IEEE Signal Process. Lett., 2009)

A family of Bayesian STSA estimators for the enhancement of speech with correlated frequency components. - Eric Plourde; Benoît Champagne 001 (ICASSP, 2010)

A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal. - Eric Plourde; Bertrand Delgutte; Emery N. Brown (IEEE Trans. Biomed. Eng., 2011)

Multidimensional STSA Estimators for Speech Enhancement With Correlated Spectral Components. - Eric Plourde; Benoît Champagne 001 (IEEE Trans. Signal Process., 2011)

The effect of different spectro-temporal representations of an input auditory stimulus on the fitting of a point process model of auditory neurons. - Eric Plourde; Emery N. Brown (ISSPA, 2012)

Regularized NMF-based speech enhancement with spectral components modeled by gaussian mixtures. - Hanwook Chung; Eric Plourde; Benoît Champagne 001 (MLSP, 2014)

On the use of a codebook-based modeling approach for Bayesian STSA speech enhancement. - Golnaz Ghodoosipour; Eric Plourde; Benoît Champagne 001 (CCECE, 2015)

Improving neural decoding in the central auditory system using bio-inspired spectro-temporal representations and a generalized bilinear model. - Shadi Siahpoush; Yousof Erfani; Thilo Rode; Hubert H. Lim; Jean Rouat; Eric Plourde (EMBC, 2015)

The contribution of trained parameters to the goodness of fit of a Bayesian neural encoding model for the auditory system. - Eric Plourde; Thilo Rode; Hubert H. Lim (NER, 2015)

Bayesian STSA estimation using masking properties and generalized Gamma prior for speech enhancement. - Mahdi Parchami; Wei-Ping Zhu 001; Benoît Champagne 001; Eric Plourde (EURASIP J. Adv. Signal Process., 2015)

Basis compensation in non-negative matrix factorization model for speech enhancement. - Hanwook Chung; Eric Plourde; Benoît Champagne 001 (ICASSP, 2016)

Discriminative Training of NMF Model Based on Class Probabilities for Speech Enhancement. - Hanwook Chung; Eric Plourde; Benoît Champagne 001 (IEEE Signal Process. Lett., 2016)

A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre. - Mohammad Adeli; Jean Rouat; Sean U. N. Wood; Stephane Molotchnikoff; Eric Plourde (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Speech enhancement using both spectral and spectral modulation domains. - Julien Bosco; Eric Plourde (CCECE, 2017)

Single-channel enhancement of convolutive noisy speech based on a discriminative NMF algorithm. - Hanwook Chung; Eric Plourde; Benoît Champagne 001 (ICASSP, 2017)

Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement. - Hanwook Chung; Eric Plourde; Benoît Champagne 001 (Speech Commun., 2017)

A Comparison of ECG Waveform Features for the Classification of Normal and Abnormal Heartbeats. - Emilien Le Flahat; Jean-Christophe Billard; Eric Plourde (CinC, 2018)

A Supervised Multi-Channel Speech Enhancement Algorithm Based on Bayesian NMF Model. - Hanwook Chung; Eric Plourde; Benoît Champagne 001 (GlobalSIP, 2018)

Noise-adaptive Deep Neural Network for single-channel speech enhancement. - Hanwook Chung; Taesup Kim; Eric Plourde; Benoît Champagne 001 (MLSP, 2018)

Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir. - Marc-Antoine Moinnereau; Thomas Brienne; Simon Brodeur; Jean Rouat; Kevin Whittingstall; Eric Plourde (CoRR, 2018)

Training and compensation of class-conditioned NMF bases for speech enhancement. - Hanwook Chung; Roland Badeau; Eric Plourde; Benoît Champagne 001 (Neurocomputing, 2018)

Novel metrics to measure the effect of additive inputs on the activity of sensory system neurons. - Maryam Hosseini; Gerardo Rodriguez; Hongsun Guo; Hubert H. Lim; Eric Plourde (EMBC, 2019)

Electroencephalogram (EEG) recordings obtained when simultaneously presenting audio stimulations. - Marc-Antoine Moinnereau; Kevin Whittingstall; Eric Plourde (IEEE DataPort, 2019)

Speaker-Independent Brain Enhanced Speech Denoising. - Maryam Hosseini; Luca Celotti; Eric Plourde (ICASSP, 2021)

Adaptive Approach for Sparse Representations Using the Locally Competitive Algorithm for Audio. - Soufiyan Bahadi; Jean Rouat; Eric Plourde (MLSP, 2021)

Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory. - Ahmad El Ferdaoussi; Eric Plourde; Jean Rouat (CoRR, 2022)

End-to-End Brain-Driven Speech Enhancement in Multi-Talker Conditions. - Maryam Hosseini; Luca Celotti; Eric Plourde (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Single Channel Speech Enhancement Using U-Net Spiking Neural Networks. - Abir Riahi; Eric Plourde (CCECE, 2023)

Optimizing Neuromorphic Spike Encoding of Dynamic Stimulus Signals Using Information Theory. - Ahmad El Ferdaoussi; Jean Rouat; Eric Plourde (NER, 2023)

Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory. - Ahmad El Ferdaoussi; Jean Rouat; Eric Plourde (Neuromorph. Comput. Eng., 2023)

Efficient Sparse Coding with the Adaptive Locally Competitive Algorithm for Speech Classification. - Soufiyan Bahadi; Eric Plourde; Jean Rouat (CoRR, 2024)

Adaptive Central Frequencies Locally Competitive Algorithm for Speech. - Soufiyan Bahadi; Eric Plourde; Jean Rouat (ICASSP, 2025)

Maximizing information in neuron populations for neuromorphic spike encoding. - Ahmad El Ferdaoussi; Eric Plourde; Jean Rouat (Neuromorph. Comput. Eng., 2025)