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ORCIDShabnam Ghaffarzadegan
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2020 – today
- 2024
[c20]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: 631-635- [c19]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: 11791-11795 - [i9]Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot:
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? CoRR abs/2401.09308 (2024) - 2023
- [c18]Wei-Cheng Lin, Luca Bondi
, Shabnam Ghaffarzadegan:
Background Domain Switch: A Novel Data Augmentation Technique for Robust Sound Event Detection. INTERSPEECH 2023: 326-330 - [c17]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: 1743-1747 - [i8]Julia Wilkins, Magdalena Fuentes, Luca Bondi, Shabnam Ghaffarzadegan, Ali Abavisani, Juan Pablo Bello:
Two vs. Four-Channel Sound Event Localization and Detection. CoRR abs/2309.13343 (2023) - 2021
- [c16]Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren:
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. ICASSP 2021: 3035-3039 - [i7]Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren:
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. CoRR abs/2105.09279 (2021) - 2020
- [j4]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): 2189-2198 (2020) - [c15]Yiwei Sun, Shabnam Ghaffarzadegan:
An Ontology-Aware Framework for Audio Event Classification. ICASSP 2020: 321-325 - [i6]Yiwei Sun, Shabnam Ghaffarzadegan:
An Ontology-Aware Framework for Audio Event Classification. CoRR abs/2001.10048 (2020) - [i5]Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren:
Visualizing Classification Structure of Large-Scale Classifiers. CoRR abs/2007.06068 (2020)
2010 – 2019
- 2019
- [c14]Asif Salekin, Shabnam Ghaffarzadegan, Zhe Feng, John A. Stankovic:
A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices. DCOSS 2019: 98-105 - [c13]Bongjun Kim, Shabnam Ghaffarzadegan:
Self-supervised Attention Model for Weakly Labeled Audio Event Classification. EUSIPCO 2019: 1-5 - [i4]Bongjun Kim, Shabnam Ghaffarzadegan:
Self-supervised Attention Model for Weakly Labeled Audio Event Classification. CoRR abs/1908.02876 (2019) - 2018
- [c12]Shabnam Ghaffarzadegan:
Deep Multiple Instance Feature Learning via Variational Autoencoder. AAAI Workshops 2018: 132-140 - [c11]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: 1408-1411 - [c10]Lei Chen, Jidong Tao, Shabnam Ghaffarzadegan, Yao Qian:
End-to-End Neural Network Based Automated Speech Scoring. ICASSP 2018: 6234-6238 - [c9]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: 127-131 - [i3]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 abs/1806.05892 (2018) - [i2]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 abs/1806.06506 (2018) - [i1]Shabnam Ghaffarzadegan:
Deep Multiple Instance Feature Learning via Variational Autoencoder. CoRR abs/1807.02490 (2018) - 2017
- [j3]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): 1063-1075 (2017) - [c8]Wael Salloum, Erik Edwards, Shabnam Ghaffarzadegan, David Suendermann-Oeft, Mark Miller:
Crowdsourced Continuous Improvement of Medical Speech Recognition. AAAI Workshops 2017 - [c7]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: 3073-3077 - [c6]Shabnam Ghaffarzadegan, Attila Reiss, Mirko Ruhs, Robert Dürichen, Zhe Feng:
Occupancy Detection in Commercial and Residential Environments Using Audio Signal. INTERSPEECH 2017: 3802-3806 - 2016
- [j2]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): 1705-1720 (2016) - [c5]Jidong Tao, Shabnam Ghaffarzadegan, Lei Chen, Klaus Zechner:
Exploring deep learning architectures for automatically grading non-native spontaneous speech. ICASSP 2016: 6140-6144 - 2015
- [c4]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition. ICASSP 2015: 5024-5028 - [c3]Oldooz Hazrati Yadkoori, Shabnam Ghaffarzadegan, John H. L. Hansen:
Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation. ICASSP 2015: 5093-5097 - 2014
- [c2]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech. ICASSP 2014: 2544-2548 - [c1]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
Model and feature based compensation for whispered speech recognition. INTERSPEECH 2014: 2420-2424 - 2012
- [j1]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): 2365-2377 (2012)
Coauthor Index
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