Eric Plourde

Orcid: 0000-0001-7492-2620

According to our database1, Eric Plourde authored at least 33 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory.
Neuromorph. Comput. Eng., June, 2023

Optimizing Neuromorphic Spike Encoding of Dynamic Stimulus Signals Using Information Theory.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Single Channel Speech Enhancement Using U-Net Spiking Neural Networks.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2022
End-to-End Brain-Driven Speech Enhancement in Multi-Talker Conditions.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory.
CoRR, 2022

2021
Adaptive Approach for Sparse Representations Using the Locally Competitive Algorithm for Audio.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Speaker-Independent Brain Enhanced Speech Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2021

2019
Electroencephalogram (EEG) recordings obtained when simultaneously presenting audio stimulations.
Dataset, August, 2019

Novel metrics to measure the effect of additive inputs on the activity of sensory system neurons.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Training and compensation of class-conditioned NMF bases for speech enhancement.
Neurocomputing, 2018

Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir.
CoRR, 2018

Noise-adaptive Deep Neural Network for single-channel speech enhancement.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

A Supervised Multi-Channel Speech Enhancement Algorithm Based on Bayesian NMF Model.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A Comparison of ECG Waveform Features for the Classification of Normal and Abnormal Heartbeats.
Proceedings of the Computing in Cardiology, 2018

2017
Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement.
Speech Commun., 2017

Single-channel enhancement of convolutive noisy speech based on a discriminative NMF algorithm.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Speech enhancement using both spectral and spectral modulation domains.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Discriminative Training of NMF Model Based on Class Probabilities for Speech Enhancement.
IEEE Signal Process. Lett., 2016

Basis compensation in non-negative matrix factorization model for speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Bayesian STSA estimation using masking properties and generalized Gamma prior for speech enhancement.
EURASIP J. Adv. Signal Process., 2015

The contribution of trained parameters to the goodness of fit of a Bayesian neural encoding model for the auditory system.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Improving neural decoding in the central auditory system using bio-inspired spectro-temporal representations and a generalized bilinear model.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

On the use of a codebook-based modeling approach for Bayesian STSA speech enhancement.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Regularized NMF-based speech enhancement with spectral components modeled by gaussian mixtures.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2012
The effect of different spectro-temporal representations of an input auditory stimulus on the fitting of a point process model of auditory neurons.
Proceedings of the 11th International Conference on Information Science, 2012

2011
Multidimensional STSA Estimators for Speech Enhancement With Correlated Spectral Components.
IEEE Trans. Signal Process., 2011

A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal.
IEEE Trans. Biomed. Eng., 2011

2010
A family of Bayesian STSA estimators for the enhancement of speech with correlated frequency components.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Generalized Bayesian Estimators of the Spectral Amplitude for Speech Enhancement.
IEEE Signal Process. Lett., 2009

2008
Auditory-Based Spectral Amplitude Estimators for Speech Enhancement.
IEEE Trans. Speech Audio Process., 2008

Perceptually based speech enhancement using the weighted beta-SA estimator.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Integrating the cochlea's compressive nonlinearity in the Bayesian approach for speech enhancement.
Proceedings of the 15th European Signal Processing Conference, 2007


  Loading...