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Mostafa Sadeghi
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2020 – today
- 2025
- [j14]Simon Leglaive
, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker:
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. Comput. Speech Lang. 89: 101685 (2025) - 2024
- [j13]Mostafa Sadeghi
, Xavier Alameda-Pineda, Radu Horaud
:
Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test. Neurocomputing 564: 126941 (2024) - [c28]Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
A Weighted-Variance Variational Autoencoder Model for Speech Enhancement. ICASSP 2024: 12451-12455 - [c27]Mostafa Sadeghi, Romain Serizel:
Posterior Sampling Algorithms for Unsupervised Speech Enhancement with Recurrent Variational Autoencoder. ICASSP 2024: 12466-12470 - [c26]Berné Nortier, Mostafa Sadeghi, Romain Serizel:
Unsupervised Speech Enhancement with Diffusion-Based Generative Models. ICASSP 2024: 12481-12485 - [c25]Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel:
Diffusion-Based Speech Enhancement with a Weighted Generative-Supervised Learning Loss. ICASSP 2024: 12506-12510 - [c24]Can Cui, Imran A. Sheikh, Mostafa Sadeghi, Emmanuel Vincent:
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications. Odyssey 2024: 99-106 - [i24]Simon Leglaive, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker:
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. CoRR abs/2402.01413 (2024) - [i23]Can Cui, Imran A. Sheikh, Mostafa Sadeghi, Emmanuel Vincent:
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications. CoRR abs/2403.06570 (2024) - 2023
- [j12]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud
, Xavier Alameda-Pineda:
Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing. Int. J. Comput. Vis. 131(5): 1122-1140 (2023) - [c23]Can Cui, Imran A. Sheikh
, Mostafa Sadeghi, Emmanuel Vincent:
End-to-End Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. ASRU 2023: 1-8 - [c22]Ali Golmakani, Mostafa Sadeghi, Romain Serizel:
Audio-Visual Speech Enhancement with a Deep Kalman Filter Generative Model. ICASSP 2023: 1-5 - [c21]Mostafa Sadeghi, Romain Serizel:
Fast and Efficient Speech Enhancement with Variational Autoencoders. ICASSP 2023: 1-5 - [i22]Simon Leglaive, Léonie Borne, Efthymios Tzinis, Mostafa Sadeghi, Matthieu Fraticelli, Scott Wisdom, Manuel Pariente, Daniel Pressnitzer, John R. Hershey:
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. CoRR abs/2307.03533 (2023) - [i21]Mostafa Sadeghi, Romain Serizel:
Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder. CoRR abs/2309.10439 (2023) - [i20]Berné Nortier, Mostafa Sadeghi, Romain Serizel:
Unsupervised speech enhancement with diffusion-based generative models. CoRR abs/2309.10450 (2023) - [i19]Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel:
Diffusion-based speech enhancement with a weighted generative-supervised learning loss. CoRR abs/2309.10457 (2023) - [i18]Can Cui, Sheikh Imran Ahamad, Mostafa Sadeghi, Emmanuel Vincent:
End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. CoRR abs/2310.10106 (2023) - [i17]Can Cui, Sheikh Imran Ahamad, Mostafa Sadeghi, Emmanuel Vincent:
End-to-end Joint Rich and Normalized ASR with a limited amount of rich training data. CoRR abs/2311.17741 (2023) - 2022
- [j11]Sajjad Amini
, Mohammad Soltanian
, Mostafa Sadeghi
, Shahrokh Ghaemmaghami
:
Non-Smooth Regularization: Improvement to Learning Framework Through Extrapolation. IEEE Trans. Signal Process. 70: 1213-1223 (2022) - [c20]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar:
The Impact of Removing Head Movements on Audio-Visual Speech Enhancement. ICASSP 2022: 7302-7306 - [c19]Mostafa Sadeghi, Paul Magron:
A Sparsity-promoting Dictionary Model for Variational Autoencoders. INTERSPEECH 2022: 366-370 - [i16]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar:
The impact of removing head movements on audio-visual speech enhancement. CoRR abs/2202.00538 (2022) - [i15]Mostafa Sadeghi, Paul Magron:
A Sparsity-promoting Dictionary Model for Variational Autoencoders. CoRR abs/2203.15758 (2022) - [i14]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda:
Expression-preserving face frontalization improves visually assisted speech processing. CoRR abs/2204.02810 (2022) - [i13]Ali Golmakani, Mostafa Sadeghi, Romain Serizel:
Audio-visual speech enhancement with a deep Kalman filter generative model. CoRR abs/2211.00988 (2022) - [i12]Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
Weighted variance variational autoencoder for speech enhancement. CoRR abs/2211.00990 (2022) - [i11]Mostafa Sadeghi, Romain Serizel:
Fast and efficient speech enhancement with variational autoencoders. CoRR abs/2211.02728 (2022) - 2021
- [j10]Mostafa Sadeghi
, Xavier Alameda-Pineda
:
Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement. IEEE Trans. Signal Process. 69: 1899-1909 (2021) - [c18]Mostafa Sadeghi, Xavier Alameda-Pineda:
Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement. ICASSP 2021: 6663-6667 - [c17]Zhiqi Kang, Radu Horaud, Mostafa Sadeghi:
Robust Face Frontalization For Visual Speech Recognition*. ICCVW 2021: 2485-2495 - [c16]Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci
, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-Visual Speech Separation. MLSP 2021: 1-6 - [i10]Mostafa Sadeghi, Xavier Alameda-Pineda:
Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement. CoRR abs/2102.04144 (2021) - 2020
- [j9]Mostafa Sadeghi, Massoud Babaie-Zadeh:
Dictionary learning with low mutual coherence constraint. Neurocomputing 407: 163-174 (2020) - [j8]Mostafa Sadeghi
, Simon Leglaive
, Xavier Alameda-Pineda
, Laurent Girin
, Radu Horaud
:
Audio-Visual Speech Enhancement Using Conditional Variational Auto-Encoders. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1788-1800 (2020) - [j7]Mostafa Sadeghi
, Keivan Navi
, Mehdi Dolatshahi
:
Novel efficient full adder and full subtractor designs in quantum cellular automata. J. Supercomput. 76(3): 2191-2205 (2020) - [c15]Javad Parsa, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation. ICASSP 2020: 3417-3421 - [c14]Mostafa Sadeghi, Xavier Alameda-Pineda:
Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders. ICASSP 2020: 7534-7538 - [i9]Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-visual Speech Separation. CoRR abs/2008.07191 (2020) - [i8]Zhiqi Kang, Mostafa Sadeghi, Radu Horaud:
Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks. CoRR abs/2010.13676 (2020)
2010 – 2019
- 2019
- [c13]Javad Parsa, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
A New Algorithm for Dictionary Learning Based on Convex Approximation. EUSIPCO 2019: 1-5 - [c12]Mostafa Sadeghi, Fateme Ghayem, Massoud Babaie-Zadeh, Saikat Chatterjee, Mikael Skoglund, Christian Jutten:
LOSoft: ℓ0 Minimization via Soft Thresholding. EUSIPCO 2019: 1-5 - [i7]Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund:
SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. CoRR abs/1905.07111 (2019) - [i6]Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. CoRR abs/1908.02590 (2019) - [i5]Mostafa Sadeghi, Xavier Alameda-Pineda:
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders. CoRR abs/1911.03930 (2019) - [i4]Mostafa Sadeghi, Xavier Alameda-Pineda:
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement. CoRR abs/1912.10647 (2019) - 2018
- [j6]Fateme Ghayem
, Mostafa Sadeghi
, Massoud Babaie-Zadeh
, Saikat Chatterjee, Mikael Skoglund, Christian Jutten:
Sparse Signal Recovery Using Iterative Proximal Projection. IEEE Trans. Signal Process. 66(4): 879-894 (2018) - [c11]Javad Parsa, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Joint Low Mutual and Average Coherence Dictionary Learning. EUSIPCO 2018: 1725-1729 - 2017
- [j5]Mostafa Sadeghi, Massoud Babaie-Zadeh:
Incoherent Unit-Norm Frame Design via an Alternating Minimization Penalty Method. IEEE Signal Process. Lett. 24(1): 32-36 (2017) - [c10]Elaheh Sobhani, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
A robust ellipse fitting algorithm based on sparsity of outliers. EUSIPCO 2017: 1195-1199 - [c9]Fateme Ghayem, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Accelerated Dictionary Learning for Sparse Signal Representation. LVA/ICA 2017: 531-541 - [i3]Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Partha P. Mitra, Mikael Skoglund:
Progressive Learning for Systematic Design of Large Neural Networks. CoRR abs/1710.08177 (2017) - 2016
- [j4]Mohsen Joneidi, Parvin Ahmadi, Mostafa Sadeghi, Nazanin Rahnavard:
Union of low-rank subspaces detector. IET Signal Process. 10(1): 55-62 (2016) - [j3]Mostafa Sadeghi, Massoud Babaie-Zadeh
:
Iterative Sparsification-Projection: Fast and Robust Sparse Signal Approximation. IEEE Trans. Signal Process. 64(21): 5536-5548 (2016) - [c8]Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition. EUSIPCO 2016: 369-373 - 2015
- [c7]Milad Niknejad
, Mostafa Sadeghi, Massoud Babaie-Zadeh, Hossein Rabbani
, Christian Jutten:
A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach. LVA/ICA 2015: 271-278 - [i2]Hossein Bakhshi Golestani, Mohsen Joneidi, Mostafa Sadeghi:
A Study on Clustering for Clustering Based Image De-Noising. CoRR abs/1501.01106 (2015) - 2014
- [j2]Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Learning Overcomplete Dictionaries Based on Atom-by-Atom Updating. IEEE Trans. Signal Process. 62(4): 883-891 (2014) - [c6]Jamal Golmohammady, Mohsen Joneidi, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries. EUSIPCO 2014: 775-779 - [c5]Mohsen Joneidi, Mostafa Sadeghi, Mojtaba Sahraee-Ardakan, Massoud Babaie-Zadeh, Christian Jutten:
A study on clustering-based image denoising: From global clustering to local grouping. EUSIPCO 2014: 1657-1661 - [c4]Sajjad Amini
, Mostafa Sadeghi, Mohsen Joneidi, Massoud Babaie-Zadeh, Christian Jutten:
Outlier-aware dictionary learning for sparse representation. MLSP 2014: 1-6 - 2013
- [j1]Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Dictionary Learning for Sparse Representation: A Novel Approach. IEEE Signal Process. Lett. 20(12): 1195-1198 (2013) - [c3]Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
A new algorithm for learning overcomplete dictionaries. EUSIPCO 2013: 1-4 - [c2]Mostafa Sadeghi, Mohsen Joneidi, Massoud Babaie-Zadeh, Christian Jutten:
Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces. EUSIPCO 2013: 1-5 - [c1]Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Learning overcomplete dictionaries based on parallel atom-updating. MLSP 2013: 1-5 - [i1]Mohsen Joneidi, Parvin Ahmadi, Mostafa Sadeghi:
A Union of Low-Rank Subspaces Detector: Application to Radar Signal Detection and Voice Activity Detection. CoRR abs/1307.7521 (2013)
Coauthor Index
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