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20162022
most citedLeveraging native language information for improved accented speech recognition

28 citations · 112 across the 23 of their papers we have counts for

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20 papers · 1 filter

eess.AS20228 cited

Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation

Vinay Kothapally, John H. L. Hansen

Several speech processing systems have demonstrated considerable performance improvements when deep complex neural networks (DCNN) are coupled with self-attention (SA) networks. Ho…

eess.AS202227 cited

SkipConvGAN: Monaural Speech Dereverberation using Generative Adversarial Networks via Complex Time-Frequency Masking

Vinay Kothapally, J. H. L. Hansen

With the advancements in deep learning approaches, the performance of speech enhancing systems in the presence of background noise have shown significant improvements. However, imp…

eess.AS2022

Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System

Zhenyu Wang, John H. L. Hansen

Audio analysis for forensic speaker verification offers unique challenges in system performance due in part to data collected in naturalistic field acoustic environments where loca…

eess.AS20211 cited

Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network

Midia Yousefi, John H. L. Hansen

Most current speech technology systems are designed to operate well even in the presence of multiple active speakers. However, most solutions assume that the number of co-current s…

eess.AS20201 cited

DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning

Mufan Sang, Wei Xia, John H. L. Hansen

Despite speaker verification has achieved significant performance improvement with the development of deep neural networks, domain mismatch is still a challenging problem in this f…

eess.AS2020

Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features

Meemnur Rashid, Kaisar Ahmed Alman, Khaled Hasan +2

With the widespread use of telemedicine services, automatic assessment of health conditions via telephone speech can significantly impact public health. This work summarizes our pr…