Shabnam Ghaffarzadegan

发表

Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation

John H. L. Hansen, Oldooz Hazrati Yadkoori, Shabnam Ghaffarzadegan, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features

John H. L. Hansen, Shabnam Ghaffarzadegan, Taufiq Hasan, 2017, INTERSPEECH.

Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech

Seyedmahdad Mirsamadi, Hamid Sheikhzadeh, Shabnam Ghaffarzadegan, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech

John H. L. Hansen, Hynek Boril, Shabnam Ghaffarzadegan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-End Neural Network Based Automated Speech Scoring

Lei Chen, Shabnam Ghaffarzadegan, Jidong Tao, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis and modeling for robust whispered speech recognition

Shabnam Ghaffarzadegan, 2016 .

A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices

John A. Stankovic, Zhe Feng, Shabnam Ghaffarzadegan, 2019, 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS).

Deep Multiple Instance Feature Learning via Variational Autoencoder

Shabnam Ghaffarzadegan, 2018, AAAI Workshops.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification

Shabnam Ghaffarzadegan, Bongjun Kim, Shabnam Ghaffarzadegan, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Visualizing Classification Structure of Large-Scale Classifiers pdf

Bilal Alsallakh, Shabnam Ghaffarzadegan, Liu Ren, 2020, ArXiv.

Visualizing Classification Structure in Deep Neural Networks

Liu Ren, Shabnam Ghaffarzadegan, Zhixin Yan, 2020 .

Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks

Zhe Feng, Shabnam Ghaffarzadegan, Ahmed Imtiaz Humayun, 2020, IEEE Journal of Biomedical and Health Informatics.

Deep neural network training for whispered speech recognition using small databases and generative model sampling

John H. L. Hansen, Hynek Boril, Shabnam Ghaffarzadegan, 2017, Int. J. Speech Technol..

An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification

Shabnam Ghaffarzadegan, Ahmed Imtiaz Humayun, Taufiq Hasan, 2018, INTERSPEECH.

Disentangled Representation Learning with Sequential Residual Variational Autoencoder

Nanxiang Li, Shabnam Ghaffarzadegan, Liu Ren, 2019 .

An Ontology-Aware Framework for Audio Event Classification

Shabnam Ghaffarzadegan, Yiwei Sun, Yiwei Sun, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploring deep learning architectures for automatically grading non-native spontaneous speech

Lei Chen, Klaus Zechner, Shabnam Ghaffarzadegan, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Crowdsourced Continuous Improvement of Medical Speech Recognition

David Suendermann-Oeft, Wael Salloum, Erik Edwards, 2017, AAAI Workshops.

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection

Shabnam Ghaffarzadegan, Ahmed Imtiaz Humayun, Taufiq Hasan, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition

John H. L. Hansen, Hynek Boril, Shabnam Ghaffarzadegan, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generative Modeling of Pseudo-Whisper for Robust Whispered Speech Recognition

John H. L. Hansen, Hynek Boril, Shabnam Ghaffarzadegan, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Occupancy Detection in Commercial and Residential Environments Using Audio Signal

Shabnam Ghaffarzadegan, Robert Dürichen, Attila Reiss, 2017, INTERSPEECH.

Model and feature based compensation for whispered speech recognition

John H. L. Hansen, Hynek Boril, Shabnam Ghaffarzadegan, 2014, INTERSPEECH.

Unsupervised Discriminative Learning of Sounds for Audio Event Classification

Ke Li, Sascha Hornauer, Shabnam Ghaffarzadegan, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).