Tuomas Virtanen

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TUT Sound events 2017, Development dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2017 .

Application of Source Separation to Robust Speech Analysis and Recognition

Dorothea Kolossa, Shinji Watanabe, Tuomas Virtanen, 2018 .

Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks

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

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).

Sound Source Separation in Monaural Music Signals

Tuomas Virtanen, T. Virtanen, 2006 .

Method for creating location-specific audio

Annamaria Mesaros, Tuomas Virtanen, Antti Eronen, 2014 .

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

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

Neural Network-based Acoustic Vehicle Counting pdf

Tuomas Virtanen, Yash Patel, Slobodan Djukanovi'c, 2020, ArXiv.

The Problem of Robustness in Automatic Speech Recognition

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

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

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

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

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

The TUM+TUT+KUL Approach to the 2nd CHiME Challenge: Multi-Stream ASR Exploiting BLSTM Networks and Sparse NMF

Björn Schuller, Martin Wöllmer, Gerhard Rigoll, 2013, ICASSP 2013.

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).

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.

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).

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.

Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow

Tuomas Virtanen, Slobodan Djukanovi'c, Jivri Matas, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Crowdsourcing a Dataset of Audio Captions pdf

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

Acoustic Scene Classification Using Higher-Order Ambisonic Features

Tuomas Virtanen, Damian Murphy, Sharath Adavanne, 2019, 2019 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).

Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters

Roberto Saletti, Tuomas Virtanen, Konstantinos Drossos, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Online Spectrogram Inversion for Low-Latency Audio Source Separation

Paul Magron, Tuomas Virtanen, 2020, IEEE Signal Processing Letters.

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

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

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.

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

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

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

Tuomas Virtanen, Huang Xie, Okko Rasanen, 2020 .

Detection of Typical Pronunciation Errors in Non-native English Speech Using Convolutional Recurrent Neural Networks

Tuomas Virtanen, Aleksandr Diment, Eemi Fagerlund, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters pdf

Roberto Saletti, Tuomas Virtanen, Gaurav Naithani, 2019, ArXiv.

Conditioned Time-Dilated Convolutions for Sound Event Detection pdf

Tuomas Virtanen, Konstantinos Drossos, Stylianos I. Mimilakis, 2020, ArXiv.

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 Via Semantic Embeddings

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

Process for the treatment of melody

Anssi Klapuri, Jouni Paulus, Tuomas Virtanen, 2007 .

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).

AUTOMATIC ALIGNMENT OF MUSIC AUDIO AND LYRICS

Annamaria Mesaros, Tuomas Virtanen, 2008 .

Deep Neural Networks for Dynamic Range Compression in Mastering Applications

Tuomas Virtanen, Gerald Schuller, Konstantinos Drossos, 2016 .

Active Learning for Sound Event Detection

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

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).

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.

Sound Event Detection with Depthwise Separable and Dilated Convolutions

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

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Tuomas Virtanen, 2011 .

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 .

TUT Sound events 2016, Development dataset

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, 2016 .

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

Tuomas Virtanen, Joonas Nikunen, Miikka Vilermo, 2012 .

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.

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

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

Tuomas Virtanen, Marko Helen, 2007 .

Source Separation and Reconstruction of Spatial Audio Using Spectrogram Factorization

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

Automatic Scoring of Guitar Chords

Jukka Holm, Fawad Mazhar, Toni Heittola, 2012 .

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).

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

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

DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System

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

Multiple Instrument Mixtures Source Separation Evaluation Using Instrument-Dependent NMF Models

Nicolás Ruiz-Reyes, Tuomas Virtanen, Pedro Vera-Candeas, 2012, LVA/ICA.

Audio-Based Epileptic Seizure Detection

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

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

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

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

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