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Stijn Kindt
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2020 – today
- 2024
- [j2]Stijn Kindt, Jenthe Thienpondt, Luca Becker, Nilesh Madhu:
Correction: Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios. EURASIP J. Audio Speech Music. Process. 2024(1): 5 (2024) - [c7]Jonas Van Damme, Stijn Kindt, Siyuan Song, Jasper Maes, Nilesh Madhu:
Investigation On System Bandwidth For DNN-Based Binaural Sound Localisation For Hearing AIDS. IWAENC 2024: 26-30 - [c6]Stijn Kindt, Jihyun Kim, Hong-Goo Kang, Nilesh Madhu:
Efficient, Cluster-Informed, Deep Speech Separation with Cross-Cluster Information in AD-HOC Wireless Acoustic Sensor Networks. IWAENC 2024: 245-249 - 2023
- [j1]Stijn Kindt
, Jenthe Thienpondt, Luca Becker, Nilesh Madhu:
Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios. EURASIP J. Audio Speech Music. Process. 2023(1): 46 (2023) - [c5]Stijn Kindt, Jenthe Thienpondt, Nilesh Madhu:
Exploiting Speaker Embeddings for Improved Microphone Clustering and Speech Separation in ad-hoc Microphone Arrays. ICASSP 2023: 1-5 - 2022
- [c4]Stijn Kindt, Alexander Bohlender
Improved Separation of Closely-spaced Speakers by Exploiting Auxiliary Direction of Arrival Information within a U-Net Architecture. AVSS 2022: 1-8 - [c3]Yanjue Song, Stijn Kindt, Nilesh Madhu:
Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming. FUSION 2022: 1-8 - [c2]Warre Geeroms, Gianni Allebosch, Stijn Kindt, Loubna Kadri, Peter Veelaert, Nilesh Madhu:
Audio-Visual Active Speaker Identification: A comparison of dense image-based features and sparse facial landmark-based features. SDF 2022: 1-6 - 2021
- [c1]Stijn Kindt, Alexander Bohlender, Nilesh Madhu:
2D Acoustic Source Localisation Using Decentralised Deep Neural Networks on Distributed Microphone Arrays. ITG Conference on Speech Communication 2021: 1-5
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