AASP-P7: Medical Acoustics I
Poster
Wed, 6 May, 09:00 - 11:00
Location: Poster Area 25
Session Type: Poster
Track: Audio and Acoustic Signal Processing [AA]
Click the to view the manuscript on IEEE Xplore Open Preview

AASP-P7.1: Speaker Anonymisation for Speech-based Suicide Risk Detection

Ziyun Cui, Sike Jia, Yang Lin, Yinan Duan, Diyang Qu, Runsen Chen, Chao Zhang, Chang Lei, Tsinghua University, China; Wen Wu, Shanghai Artificial Intelligence Laboratory, China

AASP-P7.2: MULTI-VIEW HIERARCHICAL HYPERGRAPH NEURAL NETWORK FOR AUTOMATIC STUTTERING DETECTION

Pragya Khanna, Anil Vuppala, International Institute of Information Technology, Hyderabad, India

AASP-P7.3: Evaluating pretrained speech embedding systems for dysarthria detection across heterogenous datasets

Lovisa Wihlborg, Jemima Goodall, David Wheatley, Jacob J Webber, SpeakUnique Ltd., United Kingdom of Great Britain and Northern Ireland; Johnny Tam, Christine Weaver, Suvankar Pal, Siddharthan Chandran, Sohan Seth, The University of Edinburgh, United Kingdom of Great Britain and Northern Ireland; Oliver Watts, Cassia Valentini-Botinhao, SpeakUnique Ltd., United Kingdom of Great Britain and Northern Ireland

AASP-P7.4: Transfer Learning for Paediatric Sleep Apnoea Detection Using Physiology-Guided Acoustic Models

Chaoyue Niu, Veronica Rowe, Guy J. Brown, University of Sheffield, United Kingdom of Great Britain and Northern Ireland; Heather Elphick, Lowri Thomas, Heather Kenyon, Sheffield Children’s NHS Foundation Trust, United Kingdom of Great Britain and Northern Ireland; Sam Johnson, Passion for Life Healthcare, United Kingdom of Great Britain and Northern Ireland; Ning Ma, University of Sheffield, United Kingdom of Great Britain and Northern Ireland

AASP-P7.5: ESTIMATING RESPIRATORY EFFORT FROM NOCTURNAL BREATHING SOUNDS FOR OBSTRUCTIVE SLEEP APNOEA SCREENING

Xiaolei Xu, Chaoyue Niu, Guy J. Brown, University of Sheffield, United Kingdom of Great Britain and Northern Ireland; Hector Romero, Passion for Life Healthcare, United Kingdom of Great Britain and Northern Ireland; Ning Ma, University of Sheffield, United Kingdom of Great Britain and Northern Ireland

AASP-P7.6: EMPOWERING MULTIMODAL RESPIRATORY SOUND CLASSIFICATION WITH COUNTERFACTUAL ADVERSARIAL DEBIASING FOR OUT-OF-DISTRIBUTION ROBUSTNESS

Heejoon Koo, Miika Toikkanen, Yoon Tae Kim, Soo Yong Kim, RSC LAB, MODULABS, Korea, Republic of; June-Woo Kim, Gwangju Institute of Science and Technology, Korea, Republic of

AASP-P7.7: STRESS PREDICTION FROM TEMPORAL EMOTION TRAJECTORIES IN CLINICAL PATIENT-PHYSICIAN CONVERSATIONS

Tobias Pertlwieser, Hiuching Hung, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Carolin Müller, Meike Schmitt, Hanna Huebner, Philipp Kreis, Irem Karaman, Miriam Saatze, Annika Krückel, Chloë Goossens, Katharina Seitz, Jonathan Singer, University Hospital Erlangen, Germany; Armine Garibyan, Peter Uhrig, Friedrich Alexander Universität Erlangen-Nürnberg, Germany; Peter A. Fasching, University Hospital Erlangen, Germany; Andreas Maier, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Manuel Hörner, University Hospital Erlangen, Germany

AASP-P7.9: OBSTRUCTIVE SLEEP APNEA ENDOTYPE PREDICTION DURING WAKEFULNESS USING VOICE BIOMARKERS

Shiva Akbari, Behrad Taghibeyglou, Atousa Assadi, University of Toronto, Canada; Dominick Madulid, McMaster University, Canada; Devin Brown, University of Michigan, United States of America; Daniel Vena, Scott Sands, Harvard Medical School, United States of America; Azadeh Yadollahi, KITE Research Institute, University Health Network, Canada

AASP-P7.10: MULTIFACETED PRONUNCIATION FEEDBACK MODEL WITH INTERACTIVE HIERARCHICAL NEURAL MODELING

Bi-Cheng Yan, Ming-Kang Tsai, Berlin Chen, National Taiwan Normal University, Taiwan, Taiwan