Shabnam Ghaffarzadegan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Speech Recognition

Supervised Learning

Abnormality Detection

Neural Network Training

Top Venues

Publications

Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? ICASSP (2024)
Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? CoRR (2024)
Wei-Cheng Lin, Shabnam Ghaffarzadegan, Luca Bondi, Abinaya Kumar, Samarjit Das, Ho-Hsiang Wu
CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision. ICASSP (2024)
Shabnam Ghaffarzadegan, Luca Bondi, Ho-Hsiang Wu, Sirajum Munir, Kelly J. Shields, Samarjit Das, Joseph Aracri
Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma. INTERSPEECH (2023)
Wei-Cheng Lin, Luca Bondi, Shabnam Ghaffarzadegan
Background Domain Switch: A Novel Data Augmentation Technique for Robust Sound Event Detection. INTERSPEECH (2023)
Julia Wilkins, Magdalena Fuentes, Luca Bondi, Shabnam Ghaffarzadegan, Ali Abavisani, Juan Pablo Bello
Two vs. Four-Channel Sound Event Localization and Detection. CoRR (2023)
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. ICASSP (2021)
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. CoRR (2021)
Yiwei Sun, Shabnam Ghaffarzadegan
An Ontology-Aware Framework for Audio Event Classification. ICASSP (2020)
Yiwei Sun, Shabnam Ghaffarzadegan
An Ontology-Aware Framework for Audio Event Classification. CoRR (2020)
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Md. Istiaq Ansari, Zhe Feng, Taufiq Hasan
Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren
Visualizing Classification Structure of Large-Scale Classifiers. CoRR (2020)
Bongjun Kim, Shabnam Ghaffarzadegan
Self-supervised Attention Model for Weakly Labeled Audio Event Classification. EUSIPCO (2019)
Bongjun Kim, Shabnam Ghaffarzadegan
Self-supervised Attention Model for Weakly Labeled Audio Event Classification. CoRR (2019)
Asif Salekin, Shabnam Ghaffarzadegan, Zhe Feng, John A. Stankovic
A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices. DCOSS (2019)
Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. CoRR (2018)
Shabnam Ghaffarzadegan
Deep Multiple Instance Feature Learning via Variational Autoencoder. CoRR (2018)
Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. INTERSPEECH (2018)
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. EMBC (2018)
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. CoRR (2018)
Shabnam Ghaffarzadegan
Deep Multiple Instance Feature Learning via Variational Autoencoder. AAAI Workshops (2018)
Lei Chen, Jidong Tao, Shabnam Ghaffarzadegan, Yao Qian
End-to-End Neural Network Based Automated Speech Scoring. ICASSP (2018)
Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen
Deep neural network training for whispered speech recognition using small databases and generative model sampling. Int. J. Speech Technol. 20 (4) (2017)
Shabnam Ghaffarzadegan, Attila Reiss, Mirko Ruhs, Robert Dürichen, Zhe Feng
Occupancy Detection in Commercial and Residential Environments Using Audio Signal. INTERSPEECH (2017)
Wael Salloum, Erik Edwards, Shabnam Ghaffarzadegan, David Suendermann-Oeft, Mark Miller
Crowdsourced Continuous Improvement of Medical Speech Recognition. AAAI Workshops (2017)
Rakib Hyder, Shabnam Ghaffarzadegan, Zhe Feng, John H. L. Hansen, Taufiq Hasan
Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features. INTERSPEECH (2017)
Jidong Tao, Shabnam Ghaffarzadegan, Lei Chen, Klaus Zechner
Exploring deep learning architectures for automatically grading non-native spontaneous speech. ICASSP (2016)
Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen
Generative Modeling of Pseudo-Whisper for Robust Whispered Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24 (10) (2016)
Oldooz Hazrati Yadkoori, Shabnam Ghaffarzadegan, John H. L. Hansen
Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation. ICASSP (2015)
Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen
Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition. ICASSP (2015)
Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen
Model and feature based compensation for whispered speech recognition. INTERSPEECH (2014)
Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen
UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech. ICASSP (2014)
Seyedmahdad Mirsamadi, Shabnam Ghaffarzadegan, Hamid Sheikhzadeh, Seyed Mohammad Ahadi, Amir Hossein Rezaie
Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech. IEEE Trans. Speech Audio Process. 20 (8) (2012)