Cees Taal

4.5k citations

28 papers · 3.0k indexed · 3 hit papers · h-index 15

Impact in

Signal Processing top 0.1%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
Computational Mechanics top 0.5%
- Advanced Adaptive Filtering Techniques

Papers in

Signal Processing 20
- Speech and Audio Processing 18
Cognitive Neuroscience 18
- Hearing Loss and Rehabilitation 18

Co-authors: Jesper Jensen Richard C. Hendriks Richard Heusdens Olga FinkQin WangArne Leijon Jesper Rindom Jensen Mengjie Zhao
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)The Journal of the Acoustical Society of America (2 papers)IEEE Transactions on Audio Speech and Language Processing (2 papers)Mechanical Systems and Signal Processing (2 papers)IEEE Signal Processing Letters (1 paper)
Partner nations: Netherlands Denmark Sweden

In The Last Decade

Cees Taal

27 papers receiving 2.9k citations

Hit Papers

align trajectories log scale

An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers 2016 · 380 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 IEEE/ACM Transactions on Audio Speech and Language Processing
2011 IEEE Transactions on Audio Speech and Language Processing
2010 A short-time objective intelligibility measure for time-frequency weighted noisy speech

Peers

Countries citing papers authored by Cees Taal

Since Specialization

Citations

This map shows the geographic impact of Cees Taal'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 Cees Taal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cees Taal more than expected).

Fields of papers citing papers by Cees Taal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cees Taal. 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 Cees Taal. The network helps show where Cees Taal may publish in the future.

Co-authors

The 17 scholars most cited alongside Cees Taal, 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 Cees Taal Line = papers co-authored together Cees Taal links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Graph neural networks for virtual sensing in complex systems: Addressing heterogeneous temporal dynamics Mechanical Systems and Signal Processing ·Mengjie Zhao, Cees Taal, wenting Xu, Olga Fink	2025	5
2	Equi-Euler GraphNet: An equivariant, temporal-dynamics informed graph neural network for dual force and trajectory prediction in multi-body systems Mechanical Systems and Signal Processing ·S. Lynch, 薛琴, Yue Li, Kaye Moorhouse, Cees Taal, Olga Fink	2025	1
3	Labelling of Annotated Condition Monitoring Data Through Technical Language Processing Annual Conference of the PHM Society ·Stephanie Harvard, Cees Taal, (unknown), Joakim Nivre, Marcus Liwicki, Fredrik Sandin	2023	1
4	Graph neural networks for dynamic modeling of roller bearings Annual Conference of the PHM Society ·Vinay Sharma, Kaye Moorhouse, Cees Taal, Olga Fink	2023	1
5	Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry International Journal of Prognostics and Health Management ·Stephanie Harvard, Cees Taal, Jajosky Ra, Marcus Liwicki, Fredrik Sandin	2022	4
6	On the interpretation of deep learning models in bearing vibration diagnostics Annual Conference of the PHM Society ·V. V. Viazovov, Cees Taal, Sebastián Echeverri Restrepo, Helena Moroney	2021	2
7	Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis IEEE Transactions on Instrumentation and Measurement ·Qin Wang, Cees Taal, Olga Fink	2021	67
8	Tracking Recurring Patterns in Time Series Using Dynamic Time Warping Yoo Myung Chul, Cees Taal, Richard Heusdens	2019	5
9	An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers IEEE/ACM Transactions on Audio Speech and Language Processing ·Jesper Jensen, Cees Taal Hit paper breakdown →	2016	380
10	Benefit of contralateral routing of signals for unilateral cochlear implant users The Journal of the Acoustical Society of America ·Cees Taal, Judd Apatow, Wim Soede, Jeroen J. Briaire, Johan H. M. Frijns	2016	21
11	Optimal Near-End Speech Intelligibility Improvement Incorporating Additive Noise and Late Reverberation Under an Approximation of the Short-Time SII IEEE/ACM Transactions on Audio Speech and Language Processing ·Richard C. Hendriks, Sally Kim, Jesper Jensen, Cees Taal	2015	28
12	Speech reinforcement in noisy reverberant conditions under an approximation of the short-time SII VBN Forskningsportal (Aalborg Universitet) ·Richard C. Hendriks, Sally Kim, Jesper Jensen, Cees Taal	2015	3
13	Prediction and Optimization of Speech Intelligibility in Adverse Conditions Research Repository (Delft University of Technology) ·Cees Taal	2013	1
14	Speech energy redistribution for intelligibility improvement in noise based on a perceptual distortion measure Computer Speech & Language ·Cees Taal, Richard C. Hendriks, Richard Heusdens	2013	41
15	A speech preprocessing strategy for intelligibility improvement in noise based on a perceptual distortion measure Cees Taal, Richard C. Hendriks, Richard Heusdens	2012	34
16	An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech IEEE Transactions on Audio Speech and Language Processing ·Cees Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen Hit paper breakdown →	2011	1526
17	On Predicting the Difference in Intelligibility Before and After Single-Channel Noise Reduction Cees Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen	2010	8
18	A short-time objective intelligibility measure for time-frequency weighted noisy speech Cees Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen Hit paper breakdown →	2010	648
19	A low-complexity spectro-temporal based perceptual model Cees Taal, Richard Heusdens	2009	9
20	An evaluation of objective quality measures for speech intelligibility prediction Cees Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems	2009	23

About Cees Taal

Cees Taal is a scholar working on Signal Processing, Cognitive Neuroscience, Statistics, Probability and Uncertainty, Computational Mechanics and Radiological and Ultrasound Technology, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Hearing Loss and Rehabilitation (18 papers), Advanced Adaptive Filtering Techniques (8 papers), Acoustic Wave Phenomena Research (7 papers), Machine Fault Diagnosis Techniques (5 papers), Fault Detection and Control Systems (3 papers), Risk and Safety Analysis (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Signal Processing (2.8k citations), Computational Mechanics (1.3k citations), Cognitive Neuroscience (1.1k citations), Artificial Intelligence (1.1k citations) and Speech and Hearing (94 citations). Cees Taal has collaborated with scholars based in Netherlands, Denmark and Sweden. Frequent co-authors include Jesper Jensen, Richard C. Hendriks, Richard Heusdens, Olga Fink, Qin Wang, Arne Leijon, Jesper Rindom Jensen, Mengjie Zhao, Ulrik Kjems and Johan H. M. Frijns. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing, Mechanical Systems and Signal Processing and IEEE Signal Processing Letters.

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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