Aleksandr Diment

According to our database, Aleksandr Diment authored at least 15 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Noise, Device and Room Robustness Methods for Pronunciation Error Detection.

Ville-Veikko Eklund, Aleksandr Diment, Tuomas Virtanen

Proceedings of the 30th European Signal Processing Conference, 2022

2019

Sound Event Detection in the DCASE 2017 Challenge.

Annamaria Mesaros, Aleksandr Diment, Benjamin Elizalde, Toni Heittola, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen

IEEE ACM Trans. Audio Speech Lang. Process., 2019

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

Aleksandr Diment, Eemi Fagerlund, Adrian Benfield, Tuomas Virtanen

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking.

Joonas Nikunen, Aleksandr Diment, Tuomas Virtanen

IEEE ACM Trans. Audio Speech Lang. Process., 2018

2017

Transfer learning of weakly labelled audio.

Aleksandr Diment, Tuomas Virtanen

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

A convolutional neural network approach for acoustic scene classification.

Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System.

Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit Shah, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

Binaural rendering of microphone array captures based on source separation.

Joonas Nikunen, Aleksandr Diment, Tuomas Virtanen, Miikka Vilermo

Speech Commun., 2016

Noise-robust detection of whispering in telephone calls using deep neural networks.

Aleksandr Diment, Mikko Parviainen, Tuomas Virtanen, Roman Zelov, Alex Glasman

Proceedings of the 24th European Signal Processing Conference, 2016

DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks.

Michele Valenti, Aleksandr Diment, Giambattista Parascandolo, Stefano Squartini, Tuomas Virtanen

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

2015

Archetypal analysis for audio dictionary learning.

Aleksandr Diment, Tuomas Virtanen

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

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

Aleksandr Diment, Emre Cakir, Toni Heittola, Tuomas Virtanen

Proceedings of the 23rd European Signal Processing Conference, 2015

2013

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

Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Semi-supervised learning for musical instrument recognition.

Aleksandr Diment, Toni Heittola, Tuomas Virtanen

Proceedings of the 21st European Signal Processing Conference, 2013

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

Aleksandr Diment, Padmanabhan Rajan, Toni Heittola, Tuomas Virtanen

Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013