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



Szu-Jui Chen , Jiamin Xie , John H. L. Hansen

* Accepted for Interspeech 2022 

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



Mu Yang , Kevin Hirschi , Stephen D. Looney , Okim Kang , John H. L. Hansen

* Submitted to Interspeech 2022 

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



Zhenyu Wang , John H. L. Hansen

* IAFPA-2021-International Association for Forensic Phonetics and Acoustics 

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



Yongkang Liu , Ziran Wang , Kyungtae Han , Zhenyu Shou , Prashant Tiwari , John H. L. Hansen

* Published on IEEE Transactions on Intelligent Vehicles 

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



Midia Yousefi , John H. L. Hansen


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



Midia Yousefi , John H. L. Hansen


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



Szu-Jui Chen , Wei Xia , John H. L. Hansen

* Accepted for ASRU 2021 

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



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

* Submitted to ICASSP 2021 

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Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features



Meemnur Rashid , Kaisar Ahmed Alman , Khaled Hasan , John H. L. Hansen , Taufiq Hasan

* 5 pages, 4 figures 

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



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

* Accepted to INTERSPEECH 2020 

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