Toni Heittola

发表

TUT Sound events 2017, Development dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2017 .

Musical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation

Anssi Klapuri, Tuomas Virtanen, Toni Heittola, 2009, ISMIR.

Semi-supervised learning for musical instrument recognition

Tuomas Virtanen, Toni Heittola, Aleksandr Diment, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016), Budapest, Hungary, 3 Sep 2016.

Mathieu Lagrange, Emmanouil Benetos, Tuomas Virtanen, 2016 .

Sound Event Envelope Estimation in Polyphonic Mixtures

Maximo Cobos, Francesc J. Ferri, Annamaria Mesaros, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interpolating hidden Markov model and its application to automatic instrument recognition

Tuomas Virtanen, Toni Heittola, T. Virtanen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Context-dependent sound event detection

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2013, EURASIP Journal on Audio, Speech, and Music Processing.

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

Heikki Huttunen, Tuomas Virtanen, Toni Heittola, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

The Machine Learning Approach for Analysis of Sound Scenes and Events

Tuomas Virtanen, Toni Heittola, Emre Cakir, 2018 .

A multi-device dataset for urban acoustic scene classification pdf

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2018, DCASE.

TUT Acoustic Event Detection System 2007

Anssi Klapuri, Toni Heittola, 2007, CLEAR.

Assessment of human and machine performance in acoustic scene classification: Dcase 2016 case study

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Joint Measurement of Localization and Detection of Sound Events

Archontis Politis, Annamaria Mesaros, Toni Heittola, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Sound Event Detection in Multisource Environments Using Source Separation

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2011 .

Acoustic Scene Classification in DCASE 2019 Challenge: Closed and Open Set Classification and Data Mismatch Setups

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2019, DCASE.

TUT Acoustic scenes 2016, Development dataset

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2016 .

Acoustic Scene Classification: An Overview of Dcase 2017 Challenge Entries

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

Polyphonic sound event detection using multi label deep neural networks

Heikki Huttunen, Tuomas Virtanen, Toni Heittola, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Locating Segments with Drums in Music Signals

Anssi Klapuri, Toni Heittola, A. Klapuri, 2002, ISMIR.

Multi-label vs. combined single-label sound event detection with deep neural networks

Heikki Huttunen, Tuomas Virtanen, Toni Heittola, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

A Curated Dataset of Urban Scenes for Audio-Visual Scene Analysis

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ACOUSTIC SCENE CLASSIFICATION: A COMPETITION REVIEW

Heikki Huttunen, Tuomas Virtanen, Toni Heittola, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Learning vocal mode classifiers from heterogeneous data sources

Tuomas Virtanen, Toni Heittola, Shuyang Zhao, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Using Sequential Information in Polyphonic Sound Event Detection

Tuomas Virtanen, Toni Heittola, Guangpu Huang, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features pdf

Tuomas Virtanen, Toni Heittola, Pasi Pertilä, 2017, DCASE.

Active Learning for Sound Event Detection

Toni Heittola, Tuomas Virtanen, Zhao Shuyang, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Query-by-example retrieval of sound events using an integrated similarity measure of content and label

Annamaria Mesaros, Toni Heittola, Kalle J. Palomäki, 2013, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS).

Latent semantic analysis in sound event detection

Anssi Klapuri, Annamaria Mesaros, Toni Heittola, 2011, 2011 19th European Signal Processing Conference.

Group Delay Function from All-Pole Models for Musical Instrument Recognition

Tuomas Virtanen, Padmanabhan Rajan, Toni Heittola, 2013, CMMR.

Method for creating location-specific audio textures

Dani Korpi, Tuomas Virtanen, Annamaria Mesaros, 2014, EURASIP J. Audio Speech Music. Process..

Audio context recognition using audio event histograms

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2010, 2010 18th European Signal Processing Conference.

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

Mathieu Lagrange, Mark D. Plumbley, Emmanouil Benetos, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Supervised model training for overlapping sound events based on unsupervised source separation

Moncef Gabbouj, Tuomas Virtanen, Annamaria Mesaros, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

TUT Sound events 2016, Development dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2016 .

Automatic recognition of environmental sound events using all-pole group delay features

Tuomas Virtanen, Toni Heittola, Aleksandr Diment, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations

Onur Dikmen, Tuomas Virtanen, Annamaria Mesaros, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sound source separation in monaural music signals using excitation-filter model and em algorithm

Anssi Klapuri, Tuomas Virtanen, Toni Heittola, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

On the human ability to discriminate audio ambiances from similar locations of an urban environment

Dani Korpi, Tuomas Virtanen, Annamaria Mesaros, 2013, Personal and Ubiquitous Computing.

Active learning for sound event classification by clustering unlabeled data

Tuomas Virtanen, Toni Heittola, Shuyang Zhao, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

City Classification from Multiple Real-World Sound Scenes

Emmanouil Benetos, Tuomas Virtanen, Annamaria Mesaros, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Automatic Scoring of Guitar Chords

Jukka Holm, Fawad Mazhar, Toni Heittola, 2012 .

Acoustic event detection in real life recordings

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2010, 2010 18th European Signal Processing Conference.

DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System

Ankit Shah, Emmanuel Vincent, Annamaria Mesaros, 2017, DCASE.

Datasets and Evaluation

Daniel P. W. Ellis, Annamaria Mesaros, Toni Heittola, 2018 .

Sound Event Detection in the DCASE 2017 Challenge

Emmanuel Vincent, Tuomas Virtanen, Annamaria Mesaros, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Audio-Based Epileptic Seizure Detection

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

TUT database for acoustic scene classification and sound event detection

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Acoustic Scene Classification in DCASE 2020 Challenge: Generalization Across Devices and Low Complexity Solutions

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2020, DCASE.

An Active Learning Method Using Clustering and Committee-Based Sample Selection for Sound Event Classification

Tuomas Virtanen, Toni Heittola, Shuyang Zhao, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

TUT Urban Acoustic Scenes 2018, Leaderboard dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2018 .

Metrics for Polyphonic Sound Event Detection

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2016 .

Analysis of acoustic-semantic relationship for diversely annotated real-world audio data

Annamaria Mesaros, Toni Heittola, Kalle J. Palomäki, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

Archontis Politis, Annamaria Mesaros, Toni Heittola, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Environmental noise monitoring using source classification in sensors

Tuomas Virtanen, Toni Heittola, Zhao Shuyang, 2018 .

Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of DCASE 2021 Challenge Systems

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2021, DCASE.

Audio-Visual Scene Classification: Analysis of DCASE 2021 Challenge Submissions

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2021, DCASE.

Sound Event Detection: A tutorial

Mark D. Plumbley, Tuomas Virtanen, Annamaria Mesaros, 2021, IEEE Signal Processing Magazine.

TAU Urban Audio-Visual Scenes 2021, Development dataset

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2021 .

TAU Urban Audio-Visual Scenes 2021, Evaluation dataset

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2021 .

Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks

Emmanuel Vincent, Emmanouil Benetos, Tuomas Virtanen, 2017, DCASE.

DOMESTIC AUDIO TAGGING WITH CONVOLUTIONAL NEURAL NETWORKS

Toni Heittola, Emre Çakir, Emre Çakır, 2016 .

TUT Audio Event Detection System 2007

Anssi Klapuri, Toni Heittola, T. Heittola, 2007 .