Papers shortlisted for the ISCA Best Student Paper Award 2023

Tue-P11.8 Multimodal Turn-taking Model Using Visual Cues for End-of-Utterance Prediction in Spoken Dialogue Systems Fuma Kurata, Mao Saeki, Shinya Fujie, Yoichi Matsuyama

Mon-O5.2 Transvelar Nasal Coupling Contributing to Speaker Characteristics in Non-nasal Vowels Ziyu Zhu, Yujie Chi, Zhao Zhang, Kiyoshi Honda, Jianguo Wei

Thu-P1.15 Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model Xiang Li, Songxiang Liu, Max W. Y. Lam, Zhiyong Wu, Chao Weng, Helen Meng

Mon-O2.5 MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets Ziyang Ma, Zhisheng Zheng, Changli Tang, Yujin Wang, Xie Chen

Wed-P1.18 Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabata Marco Siniscalchi, Pin-Yu Chen, Yu Tsao

Wed-O1.1 Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli

Tue-P4.4 Speaker Tracking using Graph Attention Networks with Varying Duration Utterances in Multi-Channel Naturalistic Data: Fearless Steps Apollo 11 Audio Corpus Meena Chandra Shekar, John H. Hansen

Wed-P5.11 Two-Stage Voice Anonymization for Enhanced Privacy Francesco Nespoli, Joerg Bitzer, Daniel P. Barreda, Patrick A. Naylor

Wed-O11.5 Sociodemographic and Attitudinal Effects on Dialect Speakers’

Articulation of the Standard Language: Evidence from German-Speaking Switzerland Carina Steiner, Dieter Studer-Joho, Corinne Lanthemann, Andrin Büchler, Adrian Leemann

Thu-P4.11 Which aspects of motor speech disorder are captured by Mel Frequency Cepstral Coefficients? Evidence from the change in STN-DBS conditions in Parkinson’s disease Vojtěch Illner, Petr Krýže, Jan Švihlík, Mário Souza, Paul Krack, Elina Tripoliti, Robert Jech, Jan Rusz

Tue-S3.1 An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson’s Disease Patients Daniel Escobar-Grisales, Tomas Arias-Vergara, Cristian David Ríos Urrego, Elmar Noeth, Adolfo Garcia, Juan Rafael Orozco-Arroyave

Thu-P6.5 CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice Juan Pablo Zuluaga Gomez, Sara Ahmed, Danielius Visockas, Cem Subakan

Mon-P8.7 Automatic Prediction of Language Learners’ Listenability Using Speech and Text Features Extracted from Listening Drills Yingxiang Gao, Jaehyun Choi, Nobuaki Minematsu, Noriko Nakanishi, Daisuke Saito