Donald S. Williamson

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

A Composite T60 Regression and Classification Approach for Speech Dereverberation.

[BibT_eX]

[DOI]

Yuying Li

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Privacy-preserving and Privacy-attacking Approaches for Speech and Audio - A Survey.

[BibT_eX]

[DOI]

Apu Kapadia

CoRR, 2023

MMViT: Multiscale Multiview Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Investigation on the Band Importance of Phase-aware Speech Enhancement.

[BibT_eX]

[DOI]

Zhuohuang Zhang

Yi Shen

Proceedings of the Interspeech 2022, 2022

ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2022, 2022

Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition.

[BibT_eX]

[DOI]

Apu Kapadia

Proceedings of the Interspeech 2022, 2022

2021

Multi-Channel Multi-Frame ADL-MVDR for Target Speech Separation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Defending Against Microphone-Based Attacks with Personalized Noise.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2021

Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation.

[BibT_eX]

[DOI]

Piyush Vyas

Anastasia Kuznetsova

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Towards An ASR Approach Using Acoustic and Language Models for Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

On Loss Functions for Deep-Learning Based T60 Estimation.

[BibT_eX]

[DOI]

Yuying Li

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Investigation of Phase Distortion on Perceived Speech Quality for Hearing-Impaired Listeners.

[BibT_eX]

[DOI]

Zhuohuang Zhang

Yi Shen

Proceedings of the Interspeech 2020, 2020

On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Monaural Speech Enhancement Using Intra-Spectral Recurrent Layers in the Magnitude and Phase Responses.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Return to Dereverberation in the Frequency Domain Using a Joint Learning Approach.

[BibT_eX]

[DOI]

Yuying Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

An Attention Enhanced Multi-Task Model for Objective Speech Assessment in Real-World Environments.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Classification-Aided Framework for Non-Intrusive Speech Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Incorporating Intra-Spectral Dependencies with a Recurrent Output Layer for Improved Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Objective Comparison of Speech Enhancement Algorithms with Hearing Loss Simulation.

[BibT_eX]

[DOI]

Zhuohuang Zhang

Yi Shen

Proceedings of the IEEE International Conference on Acoustics, 2019

A Comparison of Boosted Deep Neural Networks for Voice Activity Detection.

[BibT_eX]

[DOI]

Harshit Krishnakumar

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Monaural speech separation using a phase-Aware Deep denoising Auto encoder.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Long-Term SNR Estimation Using Noise Residuals and a Two-Stage Deep-Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Speech dereverberation and denoising using complex ratio masks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Complex Ratio Masking for Monaural Speech Separation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Complex ratio masking for joint enhancement of magnitude and phase.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Deep neural networks for estimating speech model activations.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

A two-stage approach for improving the perceptual quality of separated speech.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A sparse representation approach for perceptual quality improvement of separated speech.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2006

Towards Quantifying the "Album Effect" in Artist Identification.

[BibT_eX]

Youngmoo E. Kim