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Project
Enabling Effortless Communication Under Adverse Conditions by Exploitation of Direction-of-Arrival Estimates and Other A-Priori Knowledge in Joint Acoustic Source Separation and Dereverberation
Information
Project Team
Organisations
Outputs and Outcomes
Publications
Weakly DOA guided speaker separation with random look directions and iteratively refined target and interference priors
Alexander Bohlender
Ann Spriet
Wouter Tirry
Nilesh Madhu
P1
Conference
2024
Insights into magnitude and phase estimation by masking and mapping in DNN-based multichannel speaker separation
Alexander Bohlender
Ann Spriet
Wouter Tirry
Nilesh Madhu
P1
Conference
2024
Spatially selective speaker separation using a DNN with a location dependent feature extraction
Alexander Bohlender
Ann Spriet
Wouter Tirry
Nilesh Madhu
A1
Journal Article
in
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2024
CRNN-based multi-DOA estimator : comparing classification and regression
Pieter Cooreman
Alexander Bohlender
Nilesh Madhu
C1
Conference
2023
Improved deep speaker localization and tracking : revised training paradigm and controlled latency
Alexander Bohlender
Liesbeth Roelens
Nilesh Madhu
C1
Conference
2023
Improved separation of closely-spaced speakers by exploiting auxiliary direction of arrival information within a U-net architecture
Stijn Kindt
Alexander Bohlender
Nilesh Madhu
P1
Conference
2022
DOA-guided source separation with direction-based initialization and time annotations using complex angular central Gaussian mixture models
Alexander Bohlender
Lucas Van Severen
Jonathan Sterckx
Nilesh Madhu
A1
Journal Article
in
EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING
2022
2D acoustic source localisation using decentralised deep neural networks on distributed microphone arrays
Stijn Kindt
Alexander Bohlender
Nilesh Madhu
C1
Conference
2021
Neural networks using full-band and subband spatial features for mask based source separation
Alexander Bohlender
Ann Spriet
Wouter Tirry
Nilesh Madhu
P1
Conference
2021