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ORCIDJoonas Nikunen
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2010 – 2019
- 2019
[j6]Sharath Adavanne
, Archontis Politis, Joonas Nikunen, Tuomas Virtanen:
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. IEEE J. Sel. Top. Signal Process. 13(1): 34-48 (2019)- 2018
- [j5]Joonas Nikunen, Aleksandr Diment, Tuomas Virtanen:
Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 281-295 (2018) - [j4]Julio J. Carabias-Orti, Joonas Nikunen, Tuomas Virtanen, Pedro Vera-Candeas:
Multichannel Blind Sound Source Separation Using Spatial Covariance Model With Level and Time Differences and Nonnegative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1512-1527 (2018) - [c10]Joonas Nikunen, Tuomas Virtanen:
Estimation of Time-Varying Room Impulse Responses of Multiple Sound Sources from Observed Mixture and Isolated Source Signals. ICASSP 2018: 421-425 - [c9]Julio J. Carabias-Orti, Pablo Cabañas Molero, Pedro Vera-Candeas, Joonas Nikunen:
Multi-Source Localization Using a DOA Kernel Based Spatial Covariance Model and Complex Nonnegative Matrix Factorization. SAM 2018: 440-444 - [c8]Joonas Nikunen, Archontis Politis:
Multichannel NMF for Source Separation with Ambisonic Signals. IWAENC 2018: 251-255 - [c7]Gaurav Naithani, Joonas Nikunen, Lars Bramslow, Tuomas Virtanen:
Deep Neural Network Based Speech Separation Optimizing an Objective Estimator of Intelligibility for Low Latency Applications. IWAENC 2018: 386-390 - [i3]Sharath Adavanne, Archontis Politis, Joonas Nikunen, Tuomas Virtanen:
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. CoRR abs/1807.00129 (2018) - [i2]Gaurav Naithani, Joonas Nikunen, Lars Bramsløw, Tuomas Virtanen:
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications. CoRR abs/1807.06899 (2018) - 2017
- [c6]Joonas Nikunen, Tuomas Virtanen:
Time-difference of arrival model for spherical microphone arrays and application to direction of arrival estimation. EUSIPCO 2017: 1255-1259 - [i1]Joonas Nikunen, Aleksandr Diment, Tuomas Virtanen:
Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking. CoRR abs/1710.10005 (2017) - 2016
- [j3]Joonas Nikunen, Aleksandr Diment, Tuomas Virtanen, Miikka Vilermo:
Binaural rendering of microphone array captures based on source separation. Speech Commun. 76: 157-169 (2016) - 2015
- [b1]Joonas Nikunen:
Object-based Modeling of Audio for Coding and Source Separation. University of Tampere, Finland, 2015 - [j2]Pasi Pertilä, Joonas Nikunen:
Distant speech separation using predicted time-frequency masks from spatial features. Speech Commun. 68: 97-106 (2015) - 2014
- [j1]Joonas Nikunen, Tuomas Virtanen:
Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 22(3): 727-739 (2014) - [c5]Joonas Nikunen, Tuomas Virtanen:
Multichannel audio separation by direction of arrival based spatial covariance model and non-negative matrix factorization. ICASSP 2014: 6677-6681 - [c4]Pasi Pertilä, Joonas Nikunen:
Microphone array post-filtering using supervised machine learning for speech enhancement. INTERSPEECH 2014: 2675-2679 - 2012
- [c3]Joonas Nikunen, Tuomas Virtanen, Pasi Pertilä, Miikka Vilermo:
Permutation alignment of frequency-domain ICA by the maximization of intra-source envelope correlations. EUSIPCO 2012: 1489-1493 - 2011
- [c2]Joonas Nikunen, Tuomas Virtanen, Miikka Vilermo:
Multichannel audio upmixing based on non-negative tensor factorization representation. WASPAA 2011: 33-36 - 2010
- [c1]Joonas Nikunen, Tuomas Virtanen:
Noise-to-mask ratio minimization by weighted non-negative matrix factorization. ICASSP 2010: 25-28
Coauthor Index
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