Shabnam Ghaffarzadegan

According to our database1, Shabnam Ghaffarzadegan authored at least 23 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?
CoRR, 2024

2023
Two vs. Four-Channel Sound Event Localization and Detection.
CoRR, 2023

2021
Unsupervised Discriminative Learning of Sounds for Audio Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks.
IEEE J. Biomed. Health Informatics, 2020

Visualizing Classification Structure of Large-Scale Classifiers.
CoRR, 2020

An Ontology-Aware Framework for Audio Event Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Self-supervised Attention Model for Weakly Labeled Audio Event Classification.
Proceedings of the 27th European Signal Processing Conference, 2019

A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2018
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification.
Proceedings of the Interspeech 2018, 2018

End-to-End Neural Network Based Automated Speech Scoring.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Multiple Instance Feature Learning via Variational Autoencoder.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep neural network training for whispered speech recognition using small databases and generative model sampling.
Int. J. Speech Technol., 2017

Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features.
Proceedings of the Interspeech 2017, 2017

Occupancy Detection in Commercial and Residential Environments Using Audio Signal.
Proceedings of the Interspeech 2017, 2017

Crowdsourced Continuous Improvement of Medical Speech Recognition.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Generative Modeling of Pseudo-Whisper for Robust Whispered Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Exploring deep learning architectures for automatically grading non-native spontaneous speech.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Model and feature based compensation for whispered speech recognition.
Proceedings of the INTERSPEECH 2014, 2014

UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech.
Proceedings of the IEEE International Conference on Acoustics, 2014

2012
Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech.
IEEE Trans. Speech Audio Process., 2012


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