Shlomo E. Chazan

Orcid: 0000-0002-6614-6112

According to our database1, Shlomo E. Chazan authored at least 28 papers between 2016 and 2024.

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Bibliography

2024
Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023
Array Configuration Mismatch in Deep DOA Estimation: Towards Robust Training.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

A Two-Stage Speaker Extraction Algorithm Under Adverse Acoustic Conditions Using a Single-Microphone.
Proceedings of the 31st European Signal Processing Conference, 2023

Optimized Tokenization for Transcribed Error Correction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Magnitude or Phase? A Two Stage Algorithm for Dereverberation.
CoRR, 2022

Enhancing Speech Recognition Decoding via Layer Aggregation.
CoRR, 2022

CNN self-attention voice activity detector.
CoRR, 2022

Single microphone speaker extraction using unified time-frequency Siamese-Unet.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Dynamically localizing multiple speakers based on the time-frequency domain.
EURASIP J. Audio Speech Music. Process., 2021

Single Channel Voice Separation for Unknown Number of Speakers Under Reverberant and Noisy Settings.
Proceedings of the IEEE International Conference on Acoustics, 2021

Speech Enhancement with Mixture of Deep Experts with Clean Clustering Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
FCN Approach for Dynamically Locating Multiple Speakers.
CoRR, 2020

A Composite DNN Architecture for Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

K-Autoencoders Deep Clustering.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Deep Clustering Based On A Mixture Of Autoencoders.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Multi-Microphone Speaker Separation based on Deep DOA Estimation.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Attention-Based Neural Network for Joint Diarization and Speaker Extraction.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

DNN-Based Concurrent Speakers Detector and its Application to Speaker Extraction with LCMV Beamforming.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Speech Dereverberation Using Fully Convolutional Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

LCMV Beamformer with DNN-Based Multichannel Concurrent Speakers Detector.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Speech Enhancement using a Deep Mixture of Experts.
CoRR, 2017

Deep recurrent mixture of experts for speech enhancement.
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme.
Proceedings of the 25th European Signal Processing Conference, 2017

Successive relative transfer function identification using single microphone speech enhancement.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

A phoneme-based pre-training approach for deep neural network with application to speech enhancement.
Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016


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