Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech. - Seyedmahdad Mirsamadi; Shabnam Ghaffarzadegan; Hamid Sheikhzadeh; Seyed Mohammad Ahadi; Amir Hossein Rezaie (IEEE Trans. Speech Audio Process., 2012)

UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech. - Shabnam Ghaffarzadegan; Hynek Boril; John H. L. Hansen (ICASSP, 2014)

Model and feature based compensation for whispered speech recognition. - Shabnam Ghaffarzadegan; Hynek Boril; John H. L. Hansen (INTERSPEECH, 2014)

Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition. - Shabnam Ghaffarzadegan; Hynek Boril; John H. L. Hansen (ICASSP, 2015)

Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation. - Oldooz Hazrati Yadkoori; Shabnam Ghaffarzadegan; John H. L. Hansen (ICASSP, 2015)

Exploring deep learning architectures for automatically grading non-native spontaneous speech. - Jidong Tao; Shabnam Ghaffarzadegan; Lei Chen 004; Klaus Zechner (ICASSP, 2016)

Generative Modeling of Pseudo-Whisper for Robust Whispered Speech Recognition. - Shabnam Ghaffarzadegan; Hynek Boril; John H. L. Hansen (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Crowdsourced Continuous Improvement of Medical Speech Recognition. - Wael Salloum; Erik Edwards; Shabnam Ghaffarzadegan; David Suendermann-Oeft; Mark Miller 001 (AAAI Workshops, 2017)

Occupancy Detection in Commercial and Residential Environments Using Audio Signal. - Shabnam Ghaffarzadegan; Attila Reiss; Mirko Ruhs; Robert Dürichen; Zhe Feng 003 (INTERSPEECH, 2017)

Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features. - Rakib Hyder; Shabnam Ghaffarzadegan; Zhe Feng 003; John H. L. Hansen; Taufiq Hasan (INTERSPEECH, 2017)

Deep neural network training for whispered speech recognition using small databases and generative model sampling. - Shabnam Ghaffarzadegan; Hynek Boril; John H. L. Hansen (Int. J. Speech Technol., 2017)

Deep Multiple Instance Feature Learning via Variational Autoencoder. - Shabnam Ghaffarzadegan (AAAI Workshops, 2018)

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. - Ahmed Imtiaz Humayun; Shabnam Ghaffarzadegan; Zhe Feng 003; Taufiq Hasan (EMBC, 2018)

End-to-End Neural Network Based Automated Speech Scoring. - Lei Chen 004; Jidong Tao; Shabnam Ghaffarzadegan; Yao Qian (ICASSP, 2018)

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 003; Taufiq Hasan (INTERSPEECH, 2018)

A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices. - Asif Salekin; Shabnam Ghaffarzadegan; Zhe Feng 003; John A. Stankovic (DCOSS, 2019)

Self-supervised Attention Model for Weakly Labeled Audio Event Classification. - Bongjun Kim; Shabnam Ghaffarzadegan (EUSIPCO, 2019)

An Ontology-Aware Framework for Audio Event Classification. - Yiwei Sun; Shabnam Ghaffarzadegan (ICASSP, 2020)

Visualizing Classification Structure of Large-Scale Classifiers. - Bilal Alsallakh; Zhixin Yan; Shabnam Ghaffarzadegan; Zeng Dai; Liu Ren (CoRR, 2020)

Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks. - Ahmed Imtiaz Humayun; Shabnam Ghaffarzadegan; Md. Istiaq Ansari; Zhe Feng 003; Taufiq Hasan (IEEE J. Biomed. Health Informatics, 2020)

Unsupervised Discriminative Learning of Sounds for Audio Event Classification. - Sascha Hornauer; Ke Li 012; Stella X. Yu; Shabnam Ghaffarzadegan; Liu Ren (ICASSP, 2021)

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 (INTERSPEECH, 2023)

Background Domain Switch: A Novel Data Augmentation Technique for Robust Sound Event Detection. - Wei-Cheng Lin; Luca Bondi; Shabnam Ghaffarzadegan (INTERSPEECH, 2023)

Two vs. Four-Channel Sound Event Localization and Detection. - Julia Wilkins; Magdalena Fuentes; Luca Bondi; Shabnam Ghaffarzadegan; Ali Abavisani; Juan Pablo Bello (CoRR, 2023)

Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? - Stefano Damiano; Luca Bondi; Shabnam Ghaffarzadegan; Andre Guntoro; Toon van Waterschoot (ICASSP, 2024)

CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision. - Wei-Cheng Lin; Shabnam Ghaffarzadegan; Luca Bondi; Abinaya Kumar; Samarjit Das; Ho-Hsiang Wu (ICASSP, 2024)

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 (INTERSPEECH, 2024)