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Shayan Gharib
Shayan Gharib
Doctoral researcher, University of Helsinki
Verified email at helsinki.fi
Title
Cited by
Cited by
Year
Unsupervised adversarial domain adaptation for acoustic scene classification
S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen
2018 Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2018
552018
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
442020
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
242018
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
K Drossos, S Gharib, P Magron, T Virtanen
2019 Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2019
232019
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation
S Gharib, K Drossos, E Fagerlund, T Virtanen
arXiv preprint arXiv:1911.07098, 2019
82019
Representation Learning for Audio Privacy Preservation Using Source Separation and Robust Adversarial Learning
D Luong, M Tran, S Gharib, K Drossos, T Virtanen
2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023
22023
Adversarial representation learning for robust privacy preservation in audio
S Gharib, M Tran, D Luong, K Drossos, T Virtanen
IEEE Open Journal of Signal Processing, 2024
12024
Unsupervised Domain Adaptation for Audio Classification
S Gharib
12020
Privacy-preserving sound representation
T Virtanen, T Heittola, Z Shuyang, S Gharib, K Drosos
US Patent App. 18/025,240, 2023
2023
Extending Interpolation Consistency Training for Unsupervised Domain Adaptation
S Gharib, A Klami
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
2023
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Articles 1–10