Mostafa Sadeghi

Orcid: 0000-0002-0272-8017

According to our database1, Mostafa Sadeghi authored at least 50 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test.
Neurocomputing, January, 2024

Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications.
CoRR, 2024

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge.
CoRR, 2024

2023
Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing.
Int. J. Comput. Vis., May, 2023

End-to-end Joint Rich and Normalized ASR with a limited amount of rich training data.
CoRR, 2023

Diffusion-based speech enhancement with a weighted generative-supervised learning loss.
CoRR, 2023

Unsupervised speech enhancement with diffusion-based generative models.
CoRR, 2023

Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder.
CoRR, 2023

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement.
CoRR, 2023

Fast and Efficient Speech Enhancement with Variational Autoencoders.
Proceedings of the IEEE International Conference on Acoustics, 2023

Audio-Visual Speech Enhancement with a Deep Kalman Filter Generative Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

End-to-End Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Non-Smooth Regularization: Improvement to Learning Framework Through Extrapolation.
IEEE Trans. Signal Process., 2022

Weighted variance variational autoencoder for speech enhancement.
CoRR, 2022

A Sparsity-promoting Dictionary Model for Variational Autoencoders.
Proceedings of the Interspeech 2022, 2022

The Impact of Removing Head Movements on Audio-Visual Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement.
IEEE Trans. Signal Process., 2021

Deep Variational Generative Models for Audio-Visual Speech Separation.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Robust Face Frontalization For Visual Speech Recognition<sup>*</sup>.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Novel efficient full adder and full subtractor designs in quantum cellular automata.
J. Supercomput., 2020

Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Dictionary learning with low mutual coherence constraint.
Neurocomputing, 2020

Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks.
CoRR, 2020

Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder.
CoRR, 2019

SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design.
CoRR, 2019

LOSoft: ℓ0 Minimization via Soft Thresholding.
Proceedings of the 27th European Signal Processing Conference, 2019

A New Algorithm for Dictionary Learning Based on Convex Approximation.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Sparse Signal Recovery Using Iterative Proximal Projection.
IEEE Trans. Signal Process., 2018

Joint Low Mutual and Average Coherence Dictionary Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Incoherent Unit-Norm Frame Design via an Alternating Minimization Penalty Method.
IEEE Signal Process. Lett., 2017

Progressive Learning for Systematic Design of Large Neural Networks.
CoRR, 2017

Accelerated Dictionary Learning for Sparse Signal Representation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A robust ellipse fitting algorithm based on sparsity of outliers.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Iterative Sparsification-Projection: Fast and Robust Sparse Signal Approximation.
IEEE Trans. Signal Process., 2016

Union of low-rank subspaces detector.
IET Signal Process., 2016

Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A Study on Clustering for Clustering Based Image De-Noising.
CoRR, 2015

A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Learning Overcomplete Dictionaries Based on Atom-by-Atom Updating.
IEEE Trans. Signal Process., 2014

Outlier-aware dictionary learning for sparse representation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A study on clustering-based image denoising: From global clustering to local grouping.
Proceedings of the 22nd European Signal Processing Conference, 2014

K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Dictionary Learning for Sparse Representation: A Novel Approach.
IEEE Signal Process. Lett., 2013

A Union of Low-Rank Subspaces Detector: Application to Radar Signal Detection and Voice Activity Detection.
CoRR, 2013

Learning overcomplete dictionaries based on parallel atom-updating.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces.
Proceedings of the 21st European Signal Processing Conference, 2013

A new algorithm for learning overcomplete dictionaries.
Proceedings of the 21st European Signal Processing Conference, 2013


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