Unsupervised adversarial domain adaptation for acoustic scene classification. - Shayan Gharib; Konstantinos Drossos; Emre Cakir; Dmitriy Serdyuk; Tuomas Virtanen (DCASE, 2018)

Acoustic Scene Classification: a Competition Review. - Shayan Gharib; Honain Derrar; Daisuke Niizumi; Tuukka Senttula; Janne Tommola; Toni Heittola; Tuomas Virtanen; Heikki Huttunen (MLSP, 2018)

Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling. - Konstantinos Drossos; Shayan Gharib; Paul Magron; Tuomas Virtanen (DCASE, 2019)

VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation. - Shayan Gharib; Konstantinos Drossos; Eemi Fagerlund; Tuomas Virtanen (CoRR, 2019)

Code of the method presented in the paper: Drossos et al, "Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling," in proceedings of DCASE 2019. - Konstantinos Drossos; Shayan Gharib; Paul Magron; Tuomas Virtanen (Zenodo, 2019)

Sound Event Detection with Depthwise Separable and Dilated Convolutions. - Konstantinos Drossos; Stylianos I. Mimilakis; Shayan Gharib; Yanxiong Li; Tuomas Virtanen (IJCNN, 2020)

VOICe Dataset. - Shayan Gharib; Konstantinos Drossos; Eemi Fagerlund; Tuomas Virtanen (Zenodo, 2020)

Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. - Shayan Gharib; Arto Klami (IJCNN, 2023)

Representation Learning for Audio Privacy Preservation Using Source Separation and Robust Adversarial Learning. - Diep Luong; Minh Tran; Shayan Gharib; Konstantinos Drossos; Tuomas Virtanen (WASPAA, 2023)

Adversarial Representation Learning for Robust Privacy Preservation in Audio. - Shayan Gharib; Minh Tran; Diep Luong; Konstantinos Drossos; Tuomas Virtanen (CoRR, 2023)