Eric Plourde

发表

A family of Bayesian STSA estimators for the enhancement of speech with correlated frequency components

Eric Plourde, Benoît Champagne, B. Champagne, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Comparison of ECG Waveform Features for the Classification of Normal and Abnormal Heartbeats

Eric Plourde, Jean-Christophe Billard, Emilien Le Flahat, 2018, 2018 Computing in Cardiology Conference (CinC).

Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir pdf

Simon Brodeur, Jean Rouat, Eric Plourde, 2018, ArXiv.

A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal

Emery N. Brown, Eric Plourde, Bertrand Delgutte, 2011, IEEE Transactions on Biomedical Engineering.

Generalized Bayesian Estimators of the Spectral Amplitude for Speech Enhancement

Eric Plourde, Benoît Champagne, 2009, IEEE Signal Processing Letters.

A SUPERVISED MULTI-CHANNEL SPEECH ENHANCEMENT ALGORITHM BASED ON BAYESIAN NMF MODEL

Hanwook Chung, Eric Plourde, Benoît Champagne, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Single-channel enhancement of convolutive noisy speech based on a discriminative NMF algorithm

Hanwook Chung, Eric Plourde, Benoît Champagne, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The effect of trained parameters in Bayesian neural encoding models for the auditory system

Eric Plourde, 2014, BMC Neuroscience.

Bayesian STSA estimation using masking properties and generalized Gamma prior for speech enhancement

Wei-Ping Zhu, Eric Plourde, Benoît Champagne, 2015, EURASIP J. Adv. Signal Process..

Training and compensation of class-conditioned NMF bases for speech enhancement

Hanwook Chung, Eric Plourde, Benoît Champagne, 2018, Neurocomputing.

Multidimensional STSA Estimators for Speech Enhancement With Correlated Spectral Components

Eric Plourde, Benoît Champagne, B. Champagne, 2011, IEEE Transactions on Signal Processing.

On the use of a codebook-based modeling approach for Bayesian STSA speech enhancement

Eric Plourde, Benoît Champagne, Golnaz Ghodoosipour, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre

Jean Rouat, Eric Plourde, Sean U. N. Wood, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Speech enhancement using both spectral and spectral modulation domains

Eric Plourde, Julien Bosco, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement

Hanwook Chung, Eric Plourde, Benoît Champagne, 2017, Speech Commun..

Auditory-Based Spectral Amplitude Estimators for Speech Enhancement

Eric Plourde, Benoît Champagne, B. Champagne, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

The effect of different spectro-temporal representations of an input auditory stimulus on the fitting of a point process model of auditory neurons

Emery N. Brown, Eric Plourde, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Integrating the cochlea's compressive nonlinearity in the Bayesian approach for speech enhancement

Eric Plourde, Benoît Champagne, B. Champagne, 2007, 2007 15th European Signal Processing Conference.

Improving neural decoding in the central auditory system using bio-inspired spectro-temporal representations and a generalized bilinear model

Jean Rouat, Eric Plourde, Hubert H. Lim, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Basis compensation in non-negative matrix factorization model for speech enhancement

Hanwook Chung, Eric Plourde, Benoît Champagne, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Discriminative Training of NMF Model Based on Class Probabilities for Speech Enhancement

Hanwook Chung, Eric Plourde, Benoît Champagne, 2016, IEEE Signal Processing Letters.

The contribution of trained parameters to the goodness of fit of a Bayesian neural encoding model for the auditory system

Eric Plourde, Hubert H. Lim, Thilo Rode, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

NOISE-ADAPTIVE DEEP NEURAL NETWORK FOR SINGLE-CHANNEL SPEECH ENHANCEMENT

Hanwook Chung, Eric Plourde, Benoît Champagne, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Speaker-Independent Brain Enhanced Speech Denoising

Eric Plourde, Luca Celotti, Maryam Hosseini, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The effect of input noises on the activity of auditory neurons using GLM-based metrics.

Eric Plourde, Maryam Hosseini, Gerardo Rodriguez, 2021 .

Adaptive Approach for Sparse Representations Using the Locally Competitive Algorithm for Audio

Jean Rouat, Eric Plourde, Soufiyan Bahadi, 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

Bayesian spectral amplitude estimation for speech enhancement with correlated spectral components

Eric Plourde, Benoit Champagne, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Bayesian short-time spectral amplitude estimators for single-channel speech enhancement

Eric Plourde, E. Plourde, É. Plourde, 2009 .