2026 Tuomas Virtanen: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	67	2193	2126	14	12	372	18245

Research.com Recognitions

2021 - IEEE Fellow For contributions to sound event detection and source separation

Overview

Tuomas Virtanen is affiliated with Tampere University in Finland and has contributed extensively to the field of computer science, particularly focusing on signal processing and artificial intelligence. Their research spans a range of topics centered on music and audio processing, speech and audio processing, and related areas within computational audio analysis.

The main fields of study in which they have published include:

Computer Science

Important subfields contributing to their body of work are:

Signal Processing
Artificial Intelligence
Computer Vision and Pattern Recognition
Music
Cognitive Neuroscience

The topics that feature prominently in their research are:

Music and Audio Processing
Speech and Audio Processing
Speech Recognition and Synthesis
Diverse Musicological Studies
Music Technology and Sound Studies
Hearing Loss and Rehabilitation
Video Analysis and Summarization

Tuomas Virtanen has published in several venues, including:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
IEEE/ACM Transactions on Audio Speech and Language Processing
2021 29th European Signal Processing Conference (EUSIPCO)
IEEE Open Journal of Signal Processing

Among their recent papers are:

"Sound Event Detection: A tutorial," 2021, published in IEEE Signal Processing Magazine
"Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019," 2020, published in IEEE/ACM Transactions on Audio Speech and Language Processing
"Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions," 2020, published in arXiv (Cornell University)
"Zero-Shot Audio Classification Via Semantic Embeddings," 2021, published in IEEE/ACM Transactions on Audio Speech and Language Processing
"A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection," 2020, published in arXiv (Cornell University)

Their frequent collaborators include:

Archontis Politis
Konstantinos Drossos
Toni Heittola
Annamaria Mesaros
Sharath Adavanne

Tuomas Virtanen was awarded the IEEE Fellow distinction in 2021 for contributions to sound event detection and source separation.

Best Publications

Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria

T. Virtanen

1343
Citations
Deep Learning for Audio Signal Processing

Hendrik Purwins;Bo Li;Tuomas Virtanen;Jan Schluter

807
Citations
TUT database for acoustic scene classification and sound event detection

Annamaria Mesaros;Toni Heittola;Tuomas Virtanen

687
Citations
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

Emre Cakir;Giambattista Parascandolo;Toni Heittola;Heikki Huttunen

665
Citations
Metrics for Polyphonic Sound Event Detection

Annamaria Mesaros;Toni Heittola;Tuomas Virtanen

652
Citations
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

Sharath Adavanne;Archontis Politis;Joonas Nikunen;Tuomas Virtanen

536
Citations
DCASE 2017 challenge setup: tasks, datasets and baseline system

Annamaria Mesaros;Toni Heittola;Aleksandr Diment;Benjamin Martinez Elizalde

485
Citations
Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition

J. F. Gemmeke;T. Virtanen;A. Hurmalainen

438
Citations
Recurrent neural networks for polyphonic sound event detection in real life recordings

Giambattista Parascandolo;Heikki Huttunen;Tuomas Virtanen

407
Citations
Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge

Annamaria Mesaros;Toni Heittola;Emmanouil Benetos;Peter Foster

353
Citations
Polyphonic sound event detection using multi label deep neural networks

Emre Cakir;Toni Heittola;Heikki Huttunen;Tuomas Virtanen

351
Citations
Acoustic event detection in real life recordings

Annamaria Mesaros;Toni Heittola;Antti Eronen;Tuomas Virtanen

342
Citations
Context-dependent sound event detection

Toni Heittola;Annamaria Mesaros;Antti J. Eronen;Tuomas Virtanen

290
Citations
Computational Analysis of Sound Scenes and Events

Tuomas Virtanen;Mark D. Plumbley;Dan Ellis

282
Citations
Audio source separation and speech enhancement

Emmanuel Vincent;Tuomas Virtanen;Sharon Gannot

277
Citations
A multi-device dataset for urban acoustic scene classification.

Annamaria Mesaros;Toni Heittola;Tuomas Virtanen

259
Citations
Voice Conversion Using Partial Least Squares Regression

Elina Helander;Tuomas Virtanen;Jani Nurminen;Moncef Gabbouj

243
Citations
Direction of Arrival Estimation for Multiple Sound Sources Using Convolutional Recurrent Neural Network

Sharath Adavanne;Archontis Politis;Tuomas Virtanen

240
Citations
Sound Event Detection: A tutorial

Annamaria Mesaros;Toni Heittola;Tuomas Virtanen;Mark D. Plumbley

228
Citations
Separation of drums from polyphonic music using non-negative matrix factorization and support vector machine

Marko Helen;Tuomas Virtanen

214
Citations
Bayesian extensions to non-negative matrix factorisation for audio signal modelling

T. Virtanen;A.T. Cemgil;S. Godsill

196
Citations

Frequent Co-Authors

Anssi Klapuri Yousician

Bhiksha Raj Carnegie Mellon University

Antti Eronen Nokia (Finland)

Emmanuel Vincent University of Lorraine

Mark D. Plumbley King's College London

Zhizheng Wu Chinese University of Hong Kong, Shenzhen

Yoshua Bengio University of Montreal

Tomi Kinnunen University of Eastern Finland

Sharon Gannot Bar-Ilan University

Moncef Gabbouj Tampere University

External Links

Personal website of Tuomas Virtanen Google Scholar page

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