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Project
Robuuste spraakverbetering met ad-hoc gedistribueerde microfoonroosters door integratie van audio- en spraak-specifieke signaalmodellen in "deep-learning" algoritmes
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Projectteam
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Output en outcomes
Publicaties
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
Conferentie
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
Conferentie
2024
Spatially selective speaker separation using a DNN with a location dependent feature extraction
Alexander Bohlender
Ann Spriet
Wouter Tirry
Nilesh Madhu
A1
Artikel in een tijdschrift
in
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2024
Robustness of ad hoc microphone clustering using speaker embeddings : evaluation under realistic and challenging scenarios
Stijn Kindt
Jenthe Thienpondt
Luca Becker
Nilesh Madhu
A1
Artikel in een tijdschrift
in
EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING
2023
Ad hoc distributed microphones clustering : a comparative analysis on using coherence and signal-specific features
Stijn Kindt
Martijn Meeldijk
Nilesh Madhu
C1
Conferentie
2023
CRNN-based multi-DOA estimator : comparing classification and regression
Pieter Cooreman
Alexander Bohlender
Nilesh Madhu
C1
Conferentie
2023
Improved deep speaker localization and tracking : revised training paradigm and controlled latency
Alexander Bohlender
Liesbeth Roelens
Nilesh Madhu
C1
Conferentie
2023
Margin-mixup : a method for robust speaker verification in multi-speaker audio
Jenthe Thienpondt
Nilesh Madhu
Kris Demuynck
C1
Conferentie
2023
Exploiting speaker embeddings for improved microphone clustering and speech separation in ad-hoc microphone arrays
Stijn Kindt
Jenthe Thienpondt
Nilesh Madhu
C1
Conferentie
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
Conferentie
2022
Drone ego-noise cancellation for improved speech capture using deep convolutional autoencoder assisted multistage beamforming
Yanjue Song
Stijn Kindt
Nilesh Madhu
P1
Conferentie
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
Artikel in een tijdschrift
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
Conferentie
2021
Neural networks using full-band and subband spatial features for mask based source separation
Alexander Bohlender
Ann Spriet
Wouter Tirry
Nilesh Madhu
P1
Conferentie
2021