T. Virtanen

发表

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.

The TUM+TUT+KUL approach to the CHiME challenge 2013: Multi-stream ASR exploiting BLSTM networks and sparse NMF

Björn Schuller, Martin Wöllmer, Gerhard Rigoll, 2013 .

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

Simon J. Godsill, Ali Taylan Cemgil, Tuomas Virtanen, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Audio context recognition using audio event histograms

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

Context-dependent sound event detection

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

Sound Event Detection in the DCASE 2017 Challenge

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

Convolutional Recurrent Neural Networks for Rare Sound Event Detection

T. Virtanen, Emre Çakir, 2017, DCASE.

DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System

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

Taming the waves: sine as activation function in deep neural networks

Giambattista Parascandolo, T. Virtanen, H. Huttunen, 2017 .

Monaural Sound Source Separation by Perceptually Weighted Non-Negative Matrix Factorization

T. Virtanen, 2003 .

Analysis of polyphonic audio using source-filter model and non-negative matrix factorization

A. Klapuri, T. Virtanen, Anssi Klapuri, 2006 .

Tampere University of Technology Sound event detection using spatial features and convolutional recurrent neural network

T. Virtanen, Pasi Pertilä, 2017 .

DETECTION USING SPATIAL FEATURES AND CONVOLUTIONAL RECURRENT NEURAL NETWORK

T. Virtanen, Pasi Pertilä, Sharath Adavanne, 2016 .

MICHELE VALENTI CONVOLUTIONAL NEURAL NETWORKS FOR ACOUSTIC SCENE CLASSIFICATION

S. Squartini, T. Virtanen, Aleksandr Diment, 2016 .

Separating known competing voices for people with hearing loss

T. Virtanen, N. H. Pontoppidan, Marianna Vatti, 2015 .

Gaurav Naithani Acoustic Analysis of Infant Cry Signals

T. Virtanen, 2015 .

DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks

S. Squartini, Giambattista Parascandolo, T. Virtanen, 2016, DCASE.

Probabilistic Model Based Similarity Measures for Audio Query-by-Example

T. Virtanen, M. Helén, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Anssi Klapuri, Tuomas Virtanen, Joonas Kauppinen, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Compositional models for audio processing

P. Smaragdis, B. Raj, T. Virtanen, 2014 .

Modified Group Delay Feature for Musical Instrument Recognition

Toni Heittola, Padmanabhan Rajan, T. Virtanen, 2013 .

Non-negative matrix deconvolution in noise robust speech recognition

Tuomas Virtanen, Antti Hurmalainen, Jort F. Gemmeke, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evaluation of the benefit of neural network based speech separation algorithms with hearing impaired listeners

T. Virtanen, N. H. Pontoppidan, Lars Bramsløw, 2017 .

Performance of buyout-backed initial public offerings:Evidence from the United States

T. Virtanen, 2014 .

T AMING THE WAVES : SINE AS ACTIVATION FUNCTION IN DEEP NEURAL NETWORKS

Giambattista Parascandolo, T. Virtanen, H. Huttunen, 2017 .

Training Audio Annotation Multilabel encoding Feature extraction DNN training Input Target output Testing

Toni Heittola, T. Virtanen, Emre Çakir, 2015 .

SOUND EVENT DETECTION AND CONTEXT RECOGNITION

A. Mesaros, Toni Heittola, T. Virtanen, 2011 .

TUT Acoustic scenes 2016, Development dataset

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2016 .

Object-Based Audio Coding Using Non-Negative Matrix Factorization for the Spectrogram Representation

Tuomas Virtanen, Joonas Nikunen, T. Virtanen, 2010 .

Self-Supervised Learning of Audio Representations From Audio-Visual Data Using Spatial Alignment

A. Mesaros, T. Virtanen, A. Politis, 2022, IEEE Journal of Selected Topics in Signal Processing.

DCASE 2022 Challenge Task 6B: Language-Based Audio Retrieval

T. Virtanen, Huang Xie, Samuel Lipping, 2022, 2206.06108.

Associations Between Neonatal Cry Acoustics and Visual Attention During the First Year

J. Leppänen, T. Virtanen, O. Tammela, 2019, bioRxiv.

8th ISCA Speech Synthesis Workshop

Tomi Kinnunen, Zhizheng Wu, Tuomas Virtanen, 2013 .

Sound Event Detection: A tutorial

Mark D. Plumbley, A. Mesaros, T. Virtanen, 2021, IEEE Signal Processing Magazine.

SHRIRAM NANDAKUMAR RECURRENT NEURAL NETWORKS FORMULTI-MICROPHONE SPEECH SEPARATION

T. Virtanen, 2017 .

TUT Urban Acoustic Scenes 2018, Leaderboard dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2018 .

TAU Urban Audio-Visual Scenes 2021, Evaluation dataset

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2021 .

Sound Event Detection: A tutorial

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

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

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

TAU Urban Acoustic Scenes 2020 Mobile, Development dataset

A. Mesaros, T. Virtanen, T. Heittola, 2020 .

Automatic Scoring of Guitar Chords

Jukka Holm, Fawad Mazhar, Toni Heittola, 2012 .

TAU Urban Audio-Visual Scenes 2021, Development dataset

Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, 2021 .

TUT Sound events 2016, Development dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2016 .

Nonnegative Matrix Factorization

Roland Badeau, Tuomas Virtanen, R. Badeau, 2018, Audio Source Separation and Speech Enhancement.

Language-Based Audio Retrieval Task in DCASE 2022 Challenge

T. Virtanen, Huang Xie, Samuel Lipping, 2022, DCASE.

Self-Supervised Learning of Audio Representations From Audio-Visual Data Using Spatial Alignment

A. Mesaros, T. Virtanen, A. Politis, 2022, IEEE Journal of Selected Topics in Signal Processing.

Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization

Tuomas Virtanen, Joonas Nikunen, Miikka Vilermo, 2012 .

Application of Source Separation to Robust Speech Analysis and Recognition

Dorothea Kolossa, Shinji Watanabe, Tuomas Virtanen, 2018 .

Chapter 1 Introduction to Sound Scene and Event Analysis

Mark D. Plumbley, D. Ellis, T. Virtanen, 2019 .

Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning

Jörg Lücke, Szymon Drgas, Tuomas Virtanen, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Representing Musical Sounds With an Interpolating State Model

Anssi Klapuri, Tuomas Virtanen, A. Klapuri, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Automatic Music Transcription

Anssi Klapuri, Tuomas Virtanen, A. Klapuri, 2008 .

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

Tuomas Virtanen, T. Virtanen, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Sound Source Separation in Monaural Music Signals

Tuomas Virtanen, T. Virtanen, 2006 .

Separation of sound sources by convolutive sparse coding

Tuomas Virtanen, T. Virtanen, Tuomas Virtanen, 2004, SAPA@INTERSPEECH.

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.

AUTOREGRESSIVE MODEL BASED ON A DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUDIO GENERATION

T. Virtanen, H. Huttunen, 2017 .

Techniques for Noise Robustness in Automatic Speech Recognition

Bhiksha Raj, Rita Singh, Tuomas Virtanen, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.

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).

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).

End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input

Tuomas Virtanen, Emre Cakir, T. Virtanen, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition pdf

Tuomas Virtanen, Roman Jarina, Sharath Adavanne, 2017, ArXiv.

Stacked convolutional and recurrent neural networks for bird audio detection

Tuomas Virtanen, Sharath Adavanne, Konstantinos Drossos, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

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

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

Automatic segmentation of infant cry signals using hidden Markov models

Tuomas Virtanen, Gaurav Naithani, Outi Tammela, 2018, EURASIP Journal on Audio, Speech, and Music Processing.

Automatic segmentation of infant cry signals using hidden Markov models

J. Leppänen, T. Virtanen, O. Tammela, 2018, EURASIP Journal on Audio, Speech, and Music Processing.

Clotho: an Audio Captioning Dataset

Tuomas Virtanen, Konstantinos Drossos, Samuel Lipping, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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.

TUT database for acoustic scene classification and sound event detection

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

Recognition of phonemes and words in singing

Tuomas Virtanen, Annamaria Mesaros, A. Mesaros, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Musical Instrument Sound Multi-Excitation Model for Non-Negative Spectrogram Factorization

Tuomas Virtanen, Francisco J. Cañadas-Quesada, Julio J. Carabias-Orti, 2011, IEEE Journal of Selected Topics in Signal Processing.

Deep Learning for Audio Signal Processing

Tara N. Sainath, Bo Li, Hendrik Purwins, 2019, IEEE Journal of Selected Topics in Signal Processing.

Time-Frequency Processing: Spectral Properties

Emmanuel Vincent, Sharon Gannot, Tuomas Virtanen, 2018, Audio Source Separation and Speech Enhancement.

Blind Separation of Audio Mixtures Through Nonnegative Tensor Factorization of Modulation Spectrograms

Tom Barker, Tuomas Virtanen, T. Virtanen, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Modelling primitive streaming of simple tone sequences through factorisation of modulation pattern tensors

Hugo Van hamme, Tom Barker, Tuomas Virtanen, 2014, INTERSPEECH.

Context-dependent sound event detection

A. Mesaros, T. Virtanen, A. Eronen, 2013, EURASIP J. Audio Speech Music. Process..

Comparison of noise robust methods in large vocabulary speech recognition

Mikko Kurimo, Ulpu Remes, Tuomas Virtanen, 2010, 2010 18th European Signal Processing Conference.

ALGORITHM FOR THE SEPARATION OF HARMONIC SOUNDS WITH TIME- FREQUENCY SMOOTHNESS CONSTRAINT

Tuomas Virtanen, T. Virtanen, 2003 .

Two-channel Separation of Speech Using Direction-of-arrival Estimation And Sinusoids Plus Transients Modeling

Tuomas Virtanen, Mikko Parviainen, T. Virtanen, 2003 .

Separation of harmonic sound sources using sinusoidal modeling

Anssi Klapuri, Tuomas Virtanen, A. Klapuri, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Method for creating location-specific audio textures

A. Mesaros, T. Virtanen, A. Eronen, 2014, EURASIP J. Audio Speech Music. Process..

Sound Event Detection in Multisource Environments Using Source Separation

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2011 .

Acoustic event detection in real life recordings

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

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

Heikki Huttunen, Tuomas Virtanen, Giambattista Parascandolo, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection

Archontis Politis, Antoine Deleforge, Tuomas Virtanen, 2021, DCASE.

STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events

T. Virtanen, Naoya Takahashi, Sharath Adavanne, 2022, DCASE.

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments

Archontis Politis, Tuomas Virtanen, Pasi Pertilä, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection

Archontis Politis, Tuomas Virtanen, Sharath Adavanne, 2020, DCASE.

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).

A multi-room reverberant dataset for sound event localization and detection pdf

Archontis Politis, Tuomas Virtanen, Sharath Adavanne, 2019, DCASE.

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

Archontis Politis, Tuomas Virtanen, Sharath Adavanne, 2018, IEEE Journal of Selected Topics in Signal Processing.

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

Archontis Politis, Tuomas Virtanen, Sharath Adavanne, 2017, 2018 26th European Signal Processing Conference (EUSIPCO).

Metrics for Polyphonic Sound Event Detection

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2016 .

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.

Automated audio captioning with recurrent neural networks

Tuomas Virtanen, Sharath Adavanne, Konstantinos Drossos, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering

T. Virtanen, Samuel Lipping, Parthasaarathy Sudarsanam, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Accompaniment separation and karaoke application based on automatic melody transcription

Anssi Klapuri, Jouni Paulus, Tuomas Virtanen, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Environmental noise monitoring using source classification in sensors

Tuomas Virtanen, Toni Heittola, Zhao Shuyang, 2018 .

Ieee Transactions on Audio, Speech and Language Processing Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation

Tuomas Virtanen, Joonas Nikunen, T. Virtanen, 2022 .

COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations pdf

Xavier Serra, Tuomas Virtanen, Konstantinos Drossos, 2020, ArXiv.

Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking

Tuomas Virtanen, Aleksandr Diment, Joonas Nikunen, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation pdf

Tuomas Virtanen, Konstantinos Drossos, Shayan Gharib, 2019, ArXiv.

Unsupervised Adversarial Domain Adaptation Based on The Wasserstein Distance For Acoustic Scene Classification

Paul Magron, Tuomas Virtanen, Konstantinos Drossos, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Noise robust exemplar-based connected digit recognition

Tuomas Virtanen, Jort F. Gemmeke, T. Virtanen, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Voice activity detection in the presence of breathing noise using neural network and hidden Markov model

Tuomas Virtanen, Mikko Myllymäki, T. Virtanen, 2008, 2008 16th European Signal Processing Conference.

DCASE 2022 CHALLENGE TASK 6B: LANGUAGE-BASED AUDIO RETRIEVAL Technical

T. Virtanen, Huang Xie, Samuel Lipping, 2022 .

Crowdsourcing a Dataset of Audio Captions pdf

Tuomas Virtanen, Konstantinos Drossos, Samuel Lipping, 2019, DCASE.

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

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

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

A. Mesaros, T. Virtanen, Shanshan Wang, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases

O. Räsänen, T. Virtanen, Huang Xie, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Voice Conversion Using Dynamic Kernel Partial Least Squares Regression

Moncef Gabbouj, Elina Helander, Tuomas Virtanen, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

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

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

Computational Analysis of Sound Scenes and Events

Mark D. Plumbley, Daniel P. W. Ellis, Tuomas Virtanen, 2017 .

A multi-device dataset for urban acoustic scene classification pdf

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

Zero-Shot Audio Classification Via Semantic Embeddings

Tuomas Virtanen, Huang Xie, T. Virtanen, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags pdf

Xavier Serra, Tuomas Virtanen, Konstantinos Drossos, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Singer Identification in Polyphonic Music Using Vocal Separation and Pattern Recognition Methods

Anssi Klapuri, Tuomas Virtanen, Annamaria Mesaros, 2007, ISMIR.

Voice Conversion Using Partial Least Squares Regression

Moncef Gabbouj, Elina Helander, Jani Nurminen, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections

Okko Johannes Räsänen, Tuomas Virtanen, Huang Xie, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Audio Source Separation and Speech Enhancement

Emmanuel Vincent, Sharon Gannot, Tuomas Virtanen, 2018 .

Deep Neural Network Based Low-Latency Speech Separation with Asymmetric Analysis-Synthesis Window Pair

Archontis Politis, Tuomas Virtanen, Gaurav Naithani, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints

T. Virtanen, P. Magron, 2023, ArXiv.

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).

Automatic Recognition of Lyrics in Singing

Tuomas Virtanen, Annamaria Mesaros, A. Mesaros, 2010, EURASIP J. Audio Speech Music. Process..

Adaptation of a speech recognizer for singing voice

Tuomas Virtanen, Annamaria Mesaros, A. Mesaros, 2009, 2009 17th European Signal Processing Conference.

Query by Example of Audio Signals using Euclidean Distance Between Gaussian Mixture Models

Tuomas Virtanen, Marko Leonard Helén, T. Virtanen, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Recognition of acoustic events using deep neural networks

Heikki Huttunen, Tuomas Virtanen, Oguzhan Gencoglu, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Sound Source Separation Using Sparse Coding with Temporal Continuity Objective

Tuomas Virtanen, T. Virtanen, Tuomas Virtanen, 2003, ICMC.

WaveTransformer: An Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information pdf

Tuomas Virtanen, An Tran, Konstantinos Drossos, 2020, 2021 29th European Signal Processing Conference (EUSIPCO).

Zero-Shot Audio Classification Based On Class Label Embeddings

Tuomas Virtanen, Huang Xie, T. Virtanen, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm.

Tom Barker, Tuomas Virtanen, Gaurav Naithani, 2018, The Journal of the Acoustical Society of America.

Compositional Models for Audio Processing: Uncovering the structure of sound mixtures

Bhiksha Raj, Paris Smaragdis, Tuomas Virtanen, 2015, IEEE Signal Processing Magazine.

Source Separation and Reconstruction of Spatial Audio Using Spectrogram Factorization

Tuomas Virtanen, Joonas Nikunen, T. Virtanen, 2017 .

Non-negative tensor factorization models for Bayesian audio processing

Ali Taylan Cemgil, Tuomas Virtanen, Umut Simsekli, 2015, Digit. Signal Process..

The Problem of Robustness in Automatic Speech Recognition

Bhiksha Raj, Rita Singh, Tuomas Virtanen, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.

Lifelog Scene Change Detection Using Cascades of Audio and Video Detectors

Joni-Kristian Kämäräinen, Tuomas Virtanen, Katariina Mahkonen, 2014, ACCV Workshops.

Exemplar-Based Sparse Representation With Residual Compensation for Voice Conversion

Haizhou Li, Chng Eng Siong, Zhizheng Wu, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A report on sound event detection with different binaural features pdf

Tuomas Virtanen, Sharath Adavanne, T. Virtanen, 2017, ArXiv.

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).

Recognition of acoustic noise mixtures by combined bottom-up and top-down processing

Anssi Klapuri, Tuomas Virtanen, Jarno Seppänen, 2000, 2000 10th European Signal Processing Conference.

Active-Set Newton Algorithm for Overcomplete Non-Negative Representations of Audio

Bhiksha Raj, Tuomas Virtanen, Jort F. Gemmeke, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Fluctuations of Hi-Hat Timing and Dynamics in a Virtuoso Drum Track of a Popular Music Recording

Tuomas Virtanen, Esa Räsänen, Holger Hennig, 2015, PloS one.

Spectral covariance in prior distributions of non-negative matrix factorization based speech separation

Tuomas Virtanen, T. Virtanen, 2009, 2009 17th European Signal Processing Conference.

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.

Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes

T. Virtanen, Qianhua He, Yanxiong Li, 2023, INTERSPEECH.

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask

Yoshua Bengio, Gerald Schuller, Tuomas Virtanen, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation

Gerald Schuller, Tuomas Virtanen, Konstantinos Drossos, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation

Tuomas Virtanen, Konstantinos Drossos, Pyry Pyykkönen, 2020, 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP).

Multi-task Regularization Based on Infrequent Classes for Audio Captioning pdf

Tuomas Virtanen, Konstantinos Drossos, Emre Çakir, 2020, DCASE.

Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning pdf

Tuomas Virtanen, Konstantinos Drossos, Khoa Nguyen, 2020, DCASE.

Sound event detection using spatial features and convolutional recurrent neural network

Tuomas Virtanen, Pasi Pertilä, Sharath Adavanne, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sound Event Detection with Depthwise Separable and Dilated Convolutions

Yanxiong Li, Tuomas Virtanen, Konstantinos Drossos, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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

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

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).

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment

Grigorios Tsoumakas, Jed Irvine, Heikki Huttunen, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

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

Tuomas Virtanen, Marko Leonard Helén, T. Virtanen, 2005, 2005 13th European Signal Processing Conference.

Cascade processing for speeding up sliding window sparse classification

Joni-Kristian Kämäräinen, Tuomas Virtanen, Katariina Mahkonen, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement

Tom Barker, Tuomas Virtanen, Olivier Delhomme, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Drum transcription with non-negative spectrogram factorisation

Jouni Paulus, Tuomas Virtanen, T. Virtanen, 2005, 2005 13th European Signal Processing Conference.

Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications

T. Virtanen, A. Miguel, A. Politis, 2023, arXiv.org.

Deep Neural Network Based Speech Separation Optimizing an Objective Estimator of Intelligibility for Low Latency Applications

Tuomas Virtanen, Gaurav Naithani, Lars Bramslow, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

Rahim Saeidi, Tuomas Virtanen, Antti Hurmalainen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling pdf

Paul Magron, Tuomas Virtanen, Konstantinos Drossos, 2019, DCASE.

Combining pitch-based inference and non-negative spectrogram factorization in separating vocals from polyphonic music

Tuomas Virtanen, Annamaria Mesaros, Matti Ryynänen, 2008, SAPA@INTERSPEECH.

Position tracking of a varying number of sound sources with sliding permutation invariant training

T. Virtanen, A. Politis, David Diaz-Guerra, 2022, ArXiv.

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network pdf

Archontis Politis, Tuomas Virtanen, Sharath Adavanne, 2019, DCASE.

Active Learning for Sound Event Detection

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

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).

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).

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).

Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features

Archontis Politis, Tuomas Virtanen, Sharath Adavanne, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Convolutional recurrent neural networks for bird audio detection

Tuomas Virtanen, Giambattista Parascandolo, Sharath Adavanne, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Transfer learning of weakly labelled audio

Tuomas Virtanen, Aleksandr Diment, T. Virtanen, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network

T. Virtanen, Sharath Adavanne, 2017, DCASE.

Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks

T. Virtanen, Yanxiong Li, Mingle Liu, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

A convolutional neural network approach for acoustic scene classification

Stefano Squartini, Tuomas Virtanen, Giambattista Parascandolo, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

The Machine Learning Approach for Analysis of Sound Scenes and Events

Tuomas Virtanen, Toni Heittola, Emre Cakir, 2018 .

Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition

Tuomas Virtanen, Antti Hurmalainen, Jort F. Gemmeke, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

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

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

Speech recognition using factorial hidden Markov models for separation in the feature space

Tuomas Virtanen, T. Virtanen, 2006, INTERSPEECH.

Introduction to sound scene and event analysis

Mark D. Plumbley, Daniel P. W. Ellis, Tuomas Virtanen, 2018 .

Audio-Based Epileptic Seizure Detection

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

Exemplar-based speech enhancement for deep neural network based automatic speech recognition

Hugo Van hamme, Tuomas Virtanen, Deepak Baby, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generalization of the K-SVD algorithm for minimization of β-divergence

Pedro Alonso, Antonio M. Vidal, Tuomas Virtanen, 2019, Digit. Signal Process..

Analysis of an efficient parallel implementation of active-set Newton algorithm

T. Virtanen, A. Vidal, V. García, 2019, Journal of Supercomputing.

Learning state labels for sparse classification of speech with matrix deconvolution

Tuomas Virtanen, Antti Hurmalainen, T. Virtanen, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Toward a practical implementation of exemplar-based noise robust ASR

Tuomas Virtanen, Yang Sun, Antti Hurmalainen, 2011, 2011 19th European Signal Processing Conference.

Automatic knee osteoarthritis diagnosis from plain radiographs

J. Leppänen, T. Virtanen, O. Tammela, 2018 .

Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization

Paul Magron, Tuomas Virtanen, T. Virtanen, 2018, INTERSPEECH.

Automatic Music Transcription

T. Virtanen, Anssi Klapuri, 2008 .

Zero-Shot Audio Classification using Image Embeddings

T. Virtanen, T. Heittola, Duygu Dogan, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Group Sparsity for Speaker Identity Discrimination in Factorisation-based Speech Recognition

Rahim Saeidi, Tuomas Virtanen, Antti Hurmalainen, 2012, INTERSPEECH.

Acoustics - Spatial properties

E. Vincent, S. Gannot, T. Virtanen, 2018 .

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).

ASR in Classroom Today: Automatic Visualization of Conceptual Network in Science Classrooms

Mikko Kurimo, Roberto Araya, Tuomas Virtanen, 2017, EC-TEL.

On Negative Sampling for Contrastive Audio-Text Retrieval

O. Räsänen, T. Virtanen, Huang Xie, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The 12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011

Ulpu Remes, Tuomas Virtanen, Kalle J. Palomäki, 2011, ISCA 2011.

ACOUSTIC SCENE CLASSIFICATION USING CONVOLUTIONAL RECURRENT NEURAL NETWORKS

Tuomas Virtanen, T. Virtanen, Emre Çakir, 2017 .

TUT Sound events 2017, Development dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2017 .

Unsupervised Learning Methods for Source Separation in Monaural Music Signals

Tuomas Virtanen, T. Virtanen, 2006 .

Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation

Tom Barker, Tuomas Virtanen, T. Virtanen, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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.

Non-negative tensor factorisation of modulation spectrograms for monaural sound source separation

Tom Barker, Tuomas Virtanen, T. Virtanen, 2013, INTERSPEECH.

Multichannel Blind Sound Source Separation Using Spatial Covariance Model With Level and Time Differences and Nonnegative Matrix Factorization

Tuomas Virtanen, Pedro Vera-Candeas, Joonas Nikunen, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Multichannel audio separation by direction of arrival based spatial covariance model and non-negative matrix factorization

Tuomas Virtanen, Joonas Nikunen, T. Virtanen, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Separation of harmonic sounds using linear models for the overtone series

Anssi Klapuri, Tuomas Virtanen, T. Virtanen, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Separation of harmonic sounds using multipitch analysis and iterative parameter estimation

Anssi Klapuri, Tuomas Virtanen, T. Virtanen, 2001, Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575).

Complex ISNMF: A Phase-Aware Model for Monaural Audio Source Separation

Paul Magron, Tuomas Virtanen, T. Virtanen, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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.

Deep Neural Networks for Dynamic Range Compression in Mastering Applications

Tuomas Virtanen, Gerald Schuller, Konstantinos Drossos, 2016 .

Exemplar-based unit selection for voice conversion utilizing temporal information

Haizhou Li, Chng Eng Siong, Tomi Kinnunen, 2013, INTERSPEECH.

Exemplar-based voice conversion using non-negative spectrogram deconvolution

Haizhou Li, Chng Eng Siong, Tomi Kinnunen, 2013, SSW.

Coupled dictionary-based speech enhancement for CHiME-3 challenge

Hugo Van hamme, Tuomas Virtanen, Deepak Baby, 2015 .