Boaz Schwartz

Orcid: 0000-0002-1581-0415

According to our database1, Boaz Schwartz authored at least 12 papers between 2013 and 2021.

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

Timeline

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Links

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Bibliography

2021
Forward-backward recursive expectation-maximization for concurrent speaker tracking.
EURASIP J. Audio Speech Music. Process., 2021

An online algorithm for echo cancellation, dereverberation and noise reduction based on a Kalman-EM Method.
EURASIP J. Audio Speech Music. Process., 2021

Online Blind Audio Source Separation Using Recursive Expectation-Maximization.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
Blind Audio Source Separation Using Two Expectation-Maximization Algorithms.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2019
Recursive Maximum Likelihood Algorithm for Dependent Observations.
IEEE Trans. Signal Process., 2019

An EM Algorithm for Joint Dual-Speaker Separation and Dereverberation.
Proceedings of the 27th European Signal Processing Conference, 2019

2017
Two Model-Based EM Algorithms for Blind Source Separation in Noisy Environments.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

2016
Late reverberation PSD estimation for single-channel dereverberation using relative convolutive transfer functions.
Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016

2015
Online Speech Dereverberation Using Kalman Filter and EM Algorithm.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

An online dereverberation algorithm for hearing aids with binaural cues preservation.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

2014
LPC-based speech dereverberation using Kalman-EM algorithm.
Proceedings of the 14th International Workshop on Acoustic Signal Enhancement, 2014

2013
Multi-microphone speech dereverberation using expectation-maximization and Kalman smoothing.
Proceedings of the 21st European Signal Processing Conference, 2013


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