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Daniel Grixti-Cheng
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2020 – today
- 2024
- [c5]Manish Kumar, Lachlan Birnie, Thushara D. Abhayapala, Sandra Arcos Holzinger, Amy Bastine, Daniel Grixti-Cheng, Prasanga N. Samarasinghe:
Speech Denoising in Multi-Noise Source Environments Using Multiple Microphone Devices Via Relative Transfer Matrix. EUSIPCO 2024: 281-285 - 2023
- [c4]Thushara D. Abhayapala, Lachlan Birnie, Manish Kumar, Daniel Grixti-Cheng, Prasanga N. Samarasinghe:
Generalizing the Relative Transfer Function to a Matrix for Multiple Sources and Multichannel Microphones. EUSIPCO 2023: 336-340 - 2021
- [c3]Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie:
UNIPoint: Universally Approximating Point Processes Intensities. AAAI 2021: 9685-9694 - [c2]Lachlan Birnie, Prasanga N. Samarasinghe, Thushara D. Abhayapala, Daniel Grixti-Cheng:
Noise RETF Estimation and Removal for Low SNR Speech Enhancement. MLSP 2021: 1-6 - 2020
- [c1]Alice P. Bates, Daniel Grixti-Cheng, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
On the use of the Relative Transfer Function for Source Separation using Two-channel Recordings. APSIPA 2020: 734-738 - [i2]Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie:
Universal Approximation with Neural Intensity Point Processes. CoRR abs/2007.14082 (2020)
2010 – 2019
- 2019
- [i1]Yossi Bokor, Daniel Grixti-Cheng, Markus Hegland, Stephen G. Roberts, Katharine Turner:
Stratified Space Learning: Reconstructing Embedded Graphs. CoRR abs/1909.12474 (2019)
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last updated on 2024-11-07 21:33 CET by the dblp team
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