John H. L. Hansen

research

∙ 06/10/2023

What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model

This study is focused on understanding and quantifying the change in pho...

0 Mu Yang, et al. ∙

research

∙ 02/17/2023

Improving Transformer-based Networks With Locality For Automatic Speaker Verification

Recently, Transformer-based architectures have been explored for speaker...

0 Mufan Sang, et al. ∙

research

∙ 11/22/2022

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

Several speech processing systems have demonstrated considerable perform...

0 Vinay Kothapally, et al. ∙

research

∙ 11/19/2022

Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise

In the context of keyword spotting (KWS), the replacement of handcrafted...

0 Iván López-Espejo, et al. ∙

research

∙ 11/17/2022

Multi-source Domain Adaptation for Text-independent Forensic Speaker Recognition

Adapting speaker recognition systems to new environments is a widely-use...

0 Zhenyu Wang, et al. ∙

research

∙ 11/17/2022

Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning

Automatic speaker verification systems are vulnerable to a variety of ac...

0 Zhenyu Wang, et al. ∙

research

∙ 11/03/2022

Fearless Steps Challenge Phase-1 Evaluation Plan

The Fearless Steps Challenge 2019 Phase-1 (FSC-P1) is the inaugural Chal...

0 Aditya Joglekar, et al. ∙

research

∙ 09/13/2022

Learning ASR pathways: A sparse multilingual ASR model

Neural network pruning can be effectively applied to compress automatic ...

8 Mu Yang, et al. ∙

research

∙ 08/04/2022

Data-driven Attention and Data-independent DCT based Global Context Modeling for Text-independent Speaker Recognition

Learning an effective speaker representation is crucial for achieving re...

0 Wei Xia, et al. ∙

research

∙ 07/10/2022

Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning

Recently, attention mechanisms have been applied successfully in neural ...

0 Mufan Sang, et al. ∙

research

∙ 06/30/2022

FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition

Self-supervised learning representations (SSLR) have resulted in robust ...

0 Szu-Jui Chen, et al. ∙

research

∙ 03/29/2022

Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment

Current leading mispronunciation detection and diagnosis (MDD) systems a...

2 Mu Yang, et al. ∙

research

∙ 01/28/2022

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

Audio analysis for forensic speaker verification offers unique challenge...

0 Zhenyu Wang, et al. ∙

research

∙ 12/07/2021

Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study

With the rapid development of intelligent vehicles and Advanced Driver-A...

0 Yongkang Liu, et al. ∙

research

∙ 11/16/2021

Single-channel speech separation using Soft-minimum Permutation Invariant Training

The goal of speech separation is to extract multiple speech sources from...

0 Midia Yousefi, et al. ∙

research

∙ 10/30/2021

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

Most current speech technology systems are designed to operate well even...

0 Midia Yousefi, et al. ∙

research

∙ 09/23/2021

Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps CHiME-4 Corpora

In this study, we propose to investigate triplet loss for the purpose of...

0 Szu-Jui Chen, et al. ∙

research

∙ 12/12/2020

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

Despite speaker verification has achieved significant performance improv...

0 Mufan Sang, et al. ∙

research

∙ 11/15/2020

Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features

With the widespread use of telemedicine services, automatic assessment o...

0 Meemnur Rashid, et al. ∙

research

∙ 09/21/2020

Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias

In forensic applications, it is very common that only small naturalistic...

0 Mufan Sang, et al. ∙

research

∙ 09/05/2020

A multi-view approach for Mandarin non-native mispronunciation verification

Traditionally, the performance of non-native mispronunciation verificati...

0 Zhenyu Wang, et al. ∙

research

∙ 09/05/2020

Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification

Forensic audio analysis for speaker verification offers unique challenge...

0 Zhenyu Wang, et al. ∙

research

∙ 09/02/2020

Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations

In this study, we propose the global context guided channel and time-fre...

0 Wei Xia, et al. ∙

research

∙ 08/15/2020

FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data

The Fearless Steps Initiative by UTDallas-CRSS led to the digitization, ...

0 Aditya Joglekar, et al. ∙

research

∙ 07/17/2020

SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping

The reliability of using fully convolutional networks (FCNs) has been su...

0 Vinay Kothapally, et al. ∙

research

∙ 07/08/2020

Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles

With the rapid development of intelligent vehicles and Advanced Driving ...

4 Yongkang Liu, et al. ∙

research

∙ 12/17/2019

A Unified Framework for Speech Separation

Speech separation refers to extracting each individual speech source in ...

4 Fahimeh Bahmaninezhad, et al. ∙

research

∙ 10/15/2019

Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition

Despite significant efforts over the last few years to build a robust au...

0 Salar Jafarlou, et al. ∙

research

∙ 10/01/2019

Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition

Training acoustic models with sequentially incoming data – while both le...

0 Shahram Ghorbani, et al. ∙

research

∙ 08/05/2019

Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation

Speaker verification systems often degrade significantly when there is a...

0 Wei Xia, et al. ∙

research

∙ 08/04/2019

Probabilistic Permutation Invariant Training for Speech Separation

Single-microphone, speaker-independent speech separation is normally per...

0 Midia Yousefi, et al. ∙

research

∙ 07/31/2019

Quantifying Cochlear Implant Users' Ability for Speaker Identification using CI Auditory Stimuli

Speaker recognition is a biometric modality that uses underlying speech ...

0 Nursadul Mamun, et al. ∙

research

∙ 07/03/2019

Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients

Attempts to develop speech enhancement algorithms with improved speech i...

0 Nursadul Mamun, et al. ∙

research

∙ 06/07/2019

Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer

Advanced driver assistance and automated driving systems rely on risk es...

0 Ekim Yurtsever, et al. ∙

research

∙ 04/16/2019

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST s...

0 Kong Aik Lee, et al. ∙

research

∙ 03/11/2019

Exploring OpenStreetMap Availability for Driving Environment Understanding

With the great achievement of artificial intelligence, vehicle technolog...

20 Yang Zheng, et al. ∙

research

∙ 08/18/2018

Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams

Speaker Diarization (i.e. determining who spoke and when?) for multi-spe...

0 Harishchandra Dubey, et al. ∙

research

∙ 06/25/2018

Robust Feature Clustering for Unsupervised Speech Activity Detection

In certain applications such as zero-resource speech processing or very-...

0 Harishchandra Dubey, et al. ∙

research

∙ 09/29/2017

UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech

This study presents systems submitted by the University of Texas at Dall...

0 Ahmet E. Bulut, et al. ∙

research

∙ 10/24/2016

UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation

This document briefly describes the systems submitted by the Center for ...

0 Chunlei Zhang, et al. ∙

John H. L. Hansen

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