Wouter Tirry

414 citations

23 papers · 299 indexed · h-index 13

Impact in

Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques

Papers in

Signal Processing 23
- Speech and Audio Processing 23
- Music and Audio Processing 4
- Direction-of-Arrival Estimation Techniques 2
Computational Mechanics 12
- Advanced Adaptive Filtering Techniques 12

Co-authors: Tim Fingscheidt Nilesh Madhu Ann Spriet Marc Moonen Toon van Waterschoot Simon Doclo Michael Bauer Peter Vary
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (6 papers)Journal of the Audio Engineering Society (1 paper)EURASIP Journal on Advances in Signal Processing (1 paper)Ghent University Academic Bibliography (Ghent University) (3 papers)2021 29th European Signal Processing Conference (EUSIPCO) (1 paper)
Partner nations: Belgium Germany Israel

In The Last Decade

Wouter Tirry

23 papers receiving 290 citations

Peers

Countries citing papers authored by Wouter Tirry

Since Specialization

Citations

This map shows the geographic impact of Wouter Tirry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wouter Tirry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Tirry more than expected).

Fields of papers citing papers by Wouter Tirry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter Tirry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wouter Tirry. The network helps show where Wouter Tirry may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Wouter Tirry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wouter Tirry Line = papers co-authored together Wouter Tirry links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Insights into Magnitude and Phase Estimation by Masking and Mapping in DNN-Based Multichannel Speaker Separation Ghent University Academic Bibliography (Ghent University) ·Ham T W, Ann Spriet, Wouter Tirry, Nilesh Madhu	2024	1
2	Spatially Selective Speaker Separation Using a DNN With a Location Dependent Feature Extraction IEEE/ACM Transactions on Audio Speech and Language Processing ·Ham T W, Ann Spriet, Wouter Tirry, Nilesh Madhu	2023	2
3	EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement 宜弘服部, D. J. Morgan, Adina Popa, Mia Siti Apriyanti, José Ignacio Delgado Gutiérrez, Wouter Tirry, Tim Fingscheidt	2023	3
4	Exploiting Temporal Context in CNN Based Multisource DOA Estimation IEEE/ACM Transactions on Audio Speech and Language Processing ·Ham T W, Ann Spriet, Wouter Tirry, Nilesh Madhu	2021	25
5	Neural Networks Using Full-Band and Subband Spatial Features for Mask Based Source Separation 2021 29th European Signal Processing Conference (EUSIPCO) ·Ham T W, Ann Spriet, Wouter Tirry, Nilesh Madhu	2021	7
6	Fully Convolutional Recurrent Networks for Speech Enhancement José Ignacio Delgado Gutiérrez, Adina Popa, Mia Siti Apriyanti, Wouter Tirry, Tim Fingscheidt	2020	33
7	INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising José Ignacio Delgado Gutiérrez, Adina Popa, Mia Siti Apriyanti, Wouter Tirry, Tim Fingscheidt	2020	15
8	Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration EURASIP Journal on Advances in Signal Processing ·José Ignacio Delgado Gutiérrez, Adina Popa, Mia Siti Apriyanti, Wouter Tirry, Tim Fingscheidt	2020	34
9	Least-Squares DOA Estimation with an Informed Phase Unwrapping and Full Bandwidth Robustness Ghent University Academic Bibliography (Ghent University) ·Ham T W, Ann Spriet, Wouter Tirry, Nilesh Madhu	2020	7
10	Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages José Ignacio Delgado Gutiérrez, Adina Popa, Mia Siti Apriyanti, Wouter Tirry, Tim Fingscheidt	2019	20
11	Comparative Analysis of Generalized Sidelobe Cancellation and Multi-Channel Linear Prediction for Speech Dereverberation and Noise Reduction IEEE/ACM Transactions on Audio Speech and Language Processing ·Cheng Xiaodon, Ann Spriet, Wouter Tirry, Simon Doclo, Marc Moonen, Toon van Waterschoot	2018	13
12	DNN-Supported Speech Enhancement With Cepstral Estimation of Both Excitation and Envelope IEEE/ACM Transactions on Audio Speech and Language Processing ·Gutema Takele, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt	2018	16
13	Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation IEEE/ACM Transactions on Audio Speech and Language Processing ·Gutema Takele, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt	2017	29
14	An Instrumental Quality Measure for Artificially Bandwidth-Extended Speech Signals IEEE/ACM Transactions on Audio Speech and Language Processing ·出井せつ子, Nity, F Vulsteke, Wouter Tirry, Tim Fingscheidt	2016	12
15	On the relation between data-dependent beamforming and multichannel linear prediction for dereverberation Lirias (KU Leuven) ·Cheng Xiaodon, Ann Spriet, Wouter Tirry, Simon Doclo, Marc Moonen, Toon van Waterschoot	2016	3
16	Partitioned block frequency domain Kalman filter for multi-channel linear prediction based blind speech dereverberation Lirias (KU Leuven) ·Cheng Xiaodon, Ann Spriet, Wouter Tirry, Simon Doclo, Marc Moonen, Toon van Waterschoot	2016	15
17	Speech dereverberation by data-dependent beamforming with signal pre-whitening Lirias (KU Leuven) ·Cheng Xiaodon, Yih Teng Yap, Ann Spriet, Wouter Tirry, Simon Doclo, Marc Moonen, Toon van Waterschoot	2015	2
18	An iterative speech model-based a priori SNR estimator Gutema Takele, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt	2015	11
19	On speech quality assessment of artificial bandwidth extension Michael Bauer, Ayu Widayanti, Wouter Tirry, Tim Fingscheidt	2014	13
20	Acoustic Zooming by Multi-Microphone Sound Scene Manipulation Journal of the Audio Engineering Society ·Toon van Waterschoot, Wouter Tirry, Marc Moonen	2013	5

About Wouter Tirry

Wouter Tirry is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 299 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Advanced Adaptive Filtering Techniques (12 papers), Speech Recognition and Synthesis (8 papers), Hearing Loss and Rehabilitation (7 papers), Acoustic Wave Phenomena Research (5 papers), Music and Audio Processing (4 papers), Advanced Data Compression Techniques (3 papers) and Direction-of-Arrival Estimation Techniques (2 papers). The work is most often cited by research in Signal Processing (279 citations), Computational Mechanics (149 citations), Cognitive Neuroscience (82 citations), Artificial Intelligence (109 citations) and Computer Vision and Pattern Recognition (38 citations). Wouter Tirry has collaborated with scholars based in Belgium, Germany and Israel. Frequent co-authors include Tim Fingscheidt, Nilesh Madhu, Ann Spriet, Marc Moonen, Toon van Waterschoot, Simon Doclo, Michael Bauer, Peter Vary, Jari Sjöberg and Engin Erzin. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society, EURASIP Journal on Advances in Signal Processing, Ghent University Academic Bibliography (Ghent University) and 2021 29th European Signal Processing Conference (EUSIPCO).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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