Shayan Gharib
Shayan Gharib
Doctoral Student, University of Helsinki
Verifierad e-postadress på helsinki.fi
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Unsupervised adversarial domain adaptation for acoustic scene classification
S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen
arXiv preprint arXiv:1808.05777, 2018
312018
Sound event detection with depthwise separable and dilated convolutions
K Drossos, SI Mimilakis, S Gharib, Y Li, T Virtanen
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
142020
Acoustic scene classification: A competition review
S Gharib, H Derrar, D Niizumi, T Senttula, J Tommola, T Heittola, ...
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
122018
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
K Drossos, S Gharib, P Magron, T Virtanen
arXiv preprint arXiv:1907.08506, 2019
72019
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation
S Gharib, K Drossos, E Fagerlund, T Virtanen
arXiv preprint arXiv:1911.07098, 2019
22019
UNSUPERVISED DOMAIN ADAPTATION FOR AUDIO CLASSIFICATION
S Gharib
Machine learning, 2020
2020
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Artiklar 1–6