| 2025 | Interspeech | Towards Few-Shot Training-Free Anomaly Sound Detection. | Ho-Hsiang Wu, Wei-Cheng Lin, Abinaya Kumar, Luca Bondi, Shabnam Ghaffarzadegan, Juan Pablo Bello |
| 2024 | ICASSP | Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? | Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot |
| 2024 | ICASSP | CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision. | Wei-Cheng Lin, Shabnam Ghaffarzadegan, Luca Bondi, Abinaya Kumar, Samarjit Das, Ho-Hsiang Wu |
| 2024 | Interspeech | Sound of Traffic: A Dataset for Acoustic Traffic Identification and Counting. | Shabnam Ghaffarzadegan, Luca Bondi, Wei-Cheng Lin, Abinaya Kumar, Ho-Hsiang Wu, Hans-Georg Horst, Samarjit Das |
| 2023 | Interspeech | Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma. | Shabnam Ghaffarzadegan, Luca Bondi, Ho-Hsiang Wu, Sirajum Munir, Kelly J. Shields, Samarjit Das, Joseph Aracri |
| 2023 | Interspeech | Background Domain Switch: A Novel Data Augmentation Technique for Robust Sound Event Detection. | Wei-Cheng Lin, Luca Bondi, Shabnam Ghaffarzadegan |
| 2021 | ICASSP | Unsupervised Discriminative Learning of Sounds for Audio Event Classification. | Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren |
| 2020 | ICASSP | An Ontology-Aware Framework for Audio Event Classification. | Yiwei Sun, Shabnam Ghaffarzadegan |
| 2019 | DCOSS | A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices. | Asif Salekin, Shabnam Ghaffarzadegan, Zhe Feng, John A. Stankovic |
| 2018 | AAAI | Deep Multiple Instance Feature Learning via Variational Autoencoder. | Shabnam Ghaffarzadegan |
| 2018 | ICASSP | End-to-End Neural Network Based Automated Speech Scoring. | Lei Chen, Jidong Tao, Shabnam Ghaffarzadegan, Yao Qian |
| 2018 | Interspeech | An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. | Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan |
| 2017 | AAAI | Crowdsourced Continuous Improvement of Medical Speech Recognition. | Wael Salloum, Erik Edwards, Shabnam Ghaffarzadegan, David Suendermann-Oeft, Mark Miller |
| 2017 | Interspeech | Occupancy Detection in Commercial and Residential Environments Using Audio Signal. | Shabnam Ghaffarzadegan, Attila Reiss, Mirko Ruhs, Robert Drichen, Zhe Feng |
| 2017 | Interspeech | Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features. | Rakib Hyder, Shabnam Ghaffarzadegan, Zhe Feng, John H. L. Hansen, Taufiq Hasan |
| 2016 | ICASSP | Exploring deep learning architectures for automatically grading non-native spontaneous speech. | Jidong Tao, Shabnam Ghaffarzadegan, Lei Chen, Klaus Zechner |
| 2015 | ICASSP | Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition. | Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen |
| 2015 | ICASSP | Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation. | Oldooz Hazrati Yadkoori, Shabnam Ghaffarzadegan, John H. L. Hansen |
| 2014 | ICASSP | UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech. | Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen |
| 2014 | Interspeech | Model and feature based compensation for whispered speech recognition. | Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen |