Toni Heittola

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 38

Top Topics

Scene Classification

Active Learning

Event Detection

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Florian Schmid, Paul Primus, Toni Heittola, Annamaria Mesaros, Irene Martín-Morató, Khaled Koutini, Gerhard Widmer
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. CoRR (2024)
Duygu Dogan, Huang Xie, Toni Heittola, Tuomas Virtanen
Zero-Shot Audio Classification using Image Embeddings. CoRR (2022)
Irene Martín-Morató, Francesco Paissan, Alberto Ancilotto, Toni Heittola, Annamaria Mesaros, Elisabetta Farella, Alessio Brutti, Tuomas Virtanen
Low-Complexity Acoustic Scene Classification in DCASE 2022 Challenge. DCASE (2022)
Duygu Dogan, Huang Xie, Toni Heittola, Tuomas Virtanen
Zero-Shot Audio Classification using Image Embeddings. EUSIPCO (2022)
Archontis Politis, Annamaria Mesaros, Sharath Adavanne, Toni Heittola, Tuomas Virtanen
Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Shanshan Wang, Toni Heittola, Annamaria Mesaros, Tuomas Virtanen
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions. CoRR (2021)
Shanshan Wang, Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
Audio-Visual Scene Classification: Analysis of DCASE 2021 Challenge Submissions. DCASE (2021)
Irene Martín-Morató, Toni Heittola, Annamaria Mesaros, Tuomas Virtanen
Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of DCASE 2021 Challenge Systems. DCASE (2021)
Shanshan Wang, Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
A Curated Dataset of Urban Scenes for Audio-Visual Scene Analysis. ICASSP (2021)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley
Sound Event Detection: A tutorial. IEEE Signal Process. Mag. 38 (5) (2021)
Toni Heittola, Annamaria Mesaros, Tuomas Virtanen
Acoustic Scene Classification in DCASE 2020 Challenge: Generalization Across Devices and Low Complexity Solutions. DCASE (2020)
Shuyang Zhao, Toni Heittola, Tuomas Virtanen
Active Learning for Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Shuyang Zhao, Toni Heittola, Tuomas Virtanen
Active Learning for Sound Event Detection. CoRR (2020)
Archontis Politis, Annamaria Mesaros, Sharath Adavanne, Toni Heittola, Tuomas Virtanen
Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019. CoRR (2020)
M. N. Istiaq Ahsan, Csaba Kertész, Annamaria Mesaros, Toni Heittola, Andrew Knight, Tuomas Virtanen
Audio-Based Epileptic Seizure Detection. EUSIPCO (2019)
Annamaria Mesaros, Sharath Adavanne, Archontis Politis, Toni Heittola, Tuomas Virtanen
Joint Measurement of Localization and Detection of Sound Events. WASPAA (2019)
Helen L. Bear, Toni Heittola, Annamaria Mesaros, Emmanouil Benetos, Tuomas Virtanen
City Classification from Multiple Real-World Sound Scenes. WASPAA (2019)
Helen L. Bear, Toni Heittola, Annamaria Mesaros, Emmanouil Benetos, Tuomas Virtanen
City classification from multiple real-world sound scenes. CoRR (2019)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
Acoustic Scene Classification in DCASE 2019 Challenge: Closed and Open Set Classification and Data Mismatch Setups. DCASE (2019)
Irene Martín-Morató, Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Maximo Cobos, Francesc J. Ferri
Sound Event Envelope Estimation in Polyphonic Mixtures. ICASSP (2019)
Annamaria Mesaros, Aleksandr Diment, Benjamin Elizalde, Toni Heittola, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen
Sound Event Detection in the DCASE 2017 Challenge. IEEE ACM Trans. Audio Speech Lang. Process. 27 (6) (2019)
Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen
Acoustic Scene Classification: a Competition Review. MLSP (2018)
Guangpu Huang, Toni Heittola, Tuomas Virtanen
Using Sequential Information in Polyphonic Sound Event Detection. IWAENC (2018)
Shuyang Zhao, Toni Heittola, Tuomas Virtanen
An Active Learning Method Using Clustering and Committee-Based Sample Selection for Sound Event Classification. IWAENC (2018)
Annamaria Mesaros, Toni Heittola, Emmanouil Benetos, Peter Foster, Mathieu Lagrange, Tuomas Virtanen, Mark D. Plumbley
Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. IEEE ACM Trans. Audio Speech Lang. Process. 26 (2) (2018)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
Acoustic Scene Classification: An Overview of Dcase 2017 Challenge Entries. IWAENC (2018)
Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen
Acoustic Scene Classification: A Competition Review. CoRR (2018)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
A multi-device dataset for urban acoustic scene classification. CoRR (2018)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
A multi-device dataset for urban acoustic scene classification. DCASE (2018)
Emre Çakir, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, Tuomas Virtanen
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection. CoRR (2017)
Shuyang Zhao, Toni Heittola, Tuomas Virtanen
Active learning for sound event classification by clustering unlabeled data. ICASSP (2017)
Shuyang Zhao, Toni Heittola, Tuomas Virtanen
Learning vocal mode classifiers from heterogeneous data sources. WASPAA (2017)
Sharath Adavanne, Giambattista Parascandolo, Pasi Pertilä, Toni Heittola, Tuomas Virtanen
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features. CoRR (2017)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
Assessment of human and machine performance in acoustic scene classification: Dcase 2016 case study. WASPAA (2017)
Emre Çakir, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, Tuomas Virtanen
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 25 (6) (2017)
Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit Shah, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen
DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System. DCASE (2017)
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
TUT database for acoustic scene classification and sound event detection. EUSIPCO (2016)
Sharath Adavanne, Giambattista Parascandolo, Pasi Pertilä, Toni Heittola, Tuomas Virtanen
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features. DCASE (2016)
Annamaria Mesaros, Toni Heittola, Onur Dikmen, Tuomas Virtanen
Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations. ICASSP (2015)
Aleksandr Diment, Emre Cakir, Toni Heittola, Tuomas Virtanen
Automatic recognition of environmental sound events using all-pole group delay features. EUSIPCO (2015)
Emre Cakir, Toni Heittola, Heikki Huttunen, Tuomas Virtanen
Multi-label vs. combined single-label sound event detection with deep neural networks. EUSIPCO (2015)
Emre Cakir, Toni Heittola, Heikki Huttunen, Tuomas Virtanen
Polyphonic sound event detection using multi label deep neural networks. IJCNN (2015)
Toni Heittola, Annamaria Mesaros, Dani Korpi, Antti J. Eronen, Tuomas Virtanen
Method for creating location-specific audio textures. EURASIP J. Audio Speech Music. Process. 2014 (2014)
Toni Heittola, Annamaria Mesaros, Tuomas Virtanen, Moncef Gabbouj
Supervised model training for overlapping sound events based on unsupervised source separation. ICASSP (2013)
Annamaria Mesaros, Toni Heittola, Kalle J. Palomäki
Analysis of acoustic-semantic relationship for diversely annotated real-world audio data. ICASSP (2013)
Aleksandr Diment, Padmanabhan Rajan, Toni Heittola, Tuomas Virtanen
Group Delay Function from All-Pole Models for Musical Instrument Recognition. CMMR (2013)
Aleksandr Diment, Toni Heittola, Tuomas Virtanen
Semi-supervised learning for musical instrument recognition. EUSIPCO (2013)
Annamaria Mesaros, Toni Heittola, Kalle J. Palomäki
Query-by-example retrieval of sound events using an integrated similarity measure of content and label. WIAMIS (2013)
Toni Heittola, Annamaria Mesaros, Antti J. Eronen, Tuomas Virtanen
Context-dependent sound event detection. EURASIP J. Audio Speech Music. Process. 2013 (2013)
Dani Korpi, Toni Heittola, Timo Partala, Antti J. Eronen, Annamaria Mesaros, Tuomas Virtanen
On the human ability to discriminate audio ambiances from similar locations of an urban environment. Pers. Ubiquitous Comput. 17 (4) (2013)
Annamaria Mesaros, Toni Heittola, Anssi Klapuri
Latent semantic analysis in sound event detection. EUSIPCO (2011)
Toni Heittola, Annamaria Mesaros, Antti J. Eronen, Tuomas Virtanen
Audio context recognition using audio event histograms. EUSIPCO (2010)
Anssi Klapuri, Tuomas Virtanen, Toni Heittola
Sound source separation in monaural music signals using excitation-filter model and em algorithm. ICASSP (2010)
Annamaria Mesaros, Toni Heittola, Antti J. Eronen, Tuomas Virtanen
Acoustic event detection in real life recordings. EUSIPCO (2010)
Tuomas Virtanen, Toni Heittola
Interpolating hidden Markov model and its application to automatic instrument recognition. ICASSP (2009)
Toni Heittola, Anssi Klapuri, Tuomas Virtanen
Musical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation. ISMIR (2009)
Toni Heittola, Anssi Klapuri
TUT Acoustic Event Detection System 2007. CLEAR (2007)
Toni Heittola, Anssi Klapuri
Locating Segments with Drums in Music Signals. ISMIR (2002)