2025 Conference Program

Day 1: March 7, 2025

8am: General Introduction
Dr. Ingo Titze

8:15am – 9:15am: Keynote 1: Machine Intelligence Possibilities in Bridging Speech Science and Technology
Dr. Shri Narayanan

 General Topics on AI (Eric Hunter & Ted Mau – Moderators) 
9:30am – 10amHow Excessive Use of AI May Prevent Scientific RevolutionsIngo Titze
10am – 10:30amInterpretable Machine Learning in Voice and Speech ScienceBerardi
10:30am – 11amForensic Voice Comparison (FVC) and AI Driven Voice RecognitionFlavia Zuim
11am – 12pmLUNCH 
 Physics and Physiology (Zhaoyan Zhang & Tobias Riede – Moderators) 
12pm – 12:30pmPrediction of Vocal Fold Survace Pressures and Glottal Flow Using Neural NetworksPalaparthi
12:30pm – 1pmFrom Imaging to Biophysics, Development of Machine Learning Based Digital Twin System for Voice ResearchZheng
1pm – 1:30pmGlottal Features Improve Speech Inversion System For Estimating the velopharyngeal Port Constriction DegreeTabatabaee
1:30pm – 2pmOpen-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRIErattakulangara

Day 1: March 8, 2025

8am: General Introduction
Dr. Ingo Titze

8:15am – 9:15am: Keynote 2: Modeling the Brain Mechanisms Underlying Speech with Biologically Based Neural Networks
Dr. Frank Guenther

 Clinical Applications (Robin Samlan & Karin Cox – Moderators) 
9:30am – 10amDetection of Atypical Voices Using a Variational Auto-Encoder Model Based on BRBAS Scales and MFCC Audio Features DerivedSaldias
10am – 10:30amVibrato Metric Machine Learning Models as Diagnostic Biomarkers for Vocal Health, Dysphonia, TMD, and TremorNestorova
10:30am – 11amMachine Learning vs. Traditional Acoustic Measures in Voice AssessmentYousef
11am – 12pm LUNCH 
 Singing Voice and Speech Science (Ron Scherer & Diane Owens – Moderators) 
12pm – 12:30pmInner Voices: Using MVPA to Investigate Neural PatternsSalomão
12:30pm – 1pmTransformation of Relative Acoustic Information Events Into SpeechStory
1:00pm – 1:30pmA Method Analysis to Explore the Mediating Effects of Commonly Available Artificial Intelligence Voice Extraction Tools on Singing Voice Samples with Piano (A Pilot Study)Howell