2025 NCVS Conference

Voice and Speech Science in the Age of Machine Learning

WHEN

March 7-8, 2025

WHERE

Online Only via Zoom

Register for only $89

At NCVS, our mission is to help advance the science of voice and speech, leading to better outcomes for everyone who uses their voice on a daily basis. As such, work to keep our conference costs low so everyone can attend and discover cutting-edge science in the field of voice and speech.

2025 Conference Program

There is an excellent line-up of top-notch researchers for our upcoming conference. With topics ranging from AI Driven Voice Recognition to AI Voice Extraction Tools on Singing Voice Samples. The program will be a fascinating look into the next age of voice and speech. 

What to Expect

Expert Sessions

Enjoy fascinating discussions from some of the world’s leading researchers on voice and speech science. Hear from Dr. Ingo Titze, Dr. Brad Story, Dr. Ron Scherer, Dr. Anil Palaparthi and others.

Cutting Edge Research

Machine learning and AI is changing the world. Join us as we discuss the latest research into how these new technologies are changing and expanding the study of voice and speech.

Connect with the Community

As you join the conference, you’ll enjoy discussions with a wide variety of scientists, clinicians, voice teachers, and others who come together to make this conference one you won’t forget.

Special Guest Speakers

Shri Narayanan

Shrikanth (Shri) Narayanan is University Professor and holder of the Niki and Max Nikias Chair in Engineering at the University of Southern California (USC) and serves as the inaugural Vice President for Presidential Initiaitives on the Senior Leadership Team of USC’s President. He is a Professor in the Signal and Image Processing Institute of USC’s Ming Hsieh Electrical & Computer Engineering department with joint appointments as Professor in Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics and Otolaryngology-Head and Neck Surgery. He is also the inaugural director of the Ming Hsieh Institute, a Research Director for the Information Sciences Institute at USC and a Visiting Faculty Researcher at Google. He held the inaugural Viterbi Professorship in Engineering at USC (2007-2016). He was also a Research Area Director of the Integrated Media Systems Center, an NSF Engineering Research Center at USC, and was the Research Principal for the USC Pratt and Whitney Institute for Collaborative Engineering, a unique partnership between academia and industry (2003-2007).

Shri Narayanan received the Engineer’s Council 2015 Distinguished Engineering Educator Award, and was selected as IEEE Signal Processing Society Distinguished Lecturer for 2010-2011, the International Speech Communication Association (ISCA) Distinguished Lecturer for 2015-16, and the 2017 Willard R. Zemlin Memorial Lecturer for American Speech and Hearing Association (ASHA). Shri Narayanan has also received an NSF CAREER award, a Okawa Research Award, IBM Faculty Awards (2008, 2010), Google Faculty Research Award (2016), Amazon Research Award (2020), the 2011 UCLA Engineering Alumni Professional Achievement Award, a 2019 Distinguished Alumnus Award from College of Engineering – Guindy (India). Shri Narayanan has also been recognized at USC for his research, service and mentoring including with a USC Associates Award for Creativity in Research and Scholarship, a faculty fellowship for Interdisciplinary research, USC Viterbi Engineering Junior and Senior Research Awards and Use-inspired research award, USC Electrical Engineering Northrop-Grumman Research award, a Mellon award for mentoring excellence, and a USC Distinguished Faculty Service Award from the Academic Senate.

Frank Guenther

Dr. Guenther is one of the foremost researchers in the world on computational and cognitive neuroscience. His research focuses primarily on the neural computations underlying speech, including characterization of the neural bases of communication disorders and development of brain–computer interfaces for communication restoration.

Dr. Guenther holds a B.S. in electrical engineering from the University of Missouri where he graduated summa cum laude and was ranked first overall in the College of Engineering. He received an M.S. in electrical engineering from Princeton University and a Ph.D. in cognitive and neural systems from Boston University.

In 2010 he became associate director of the graduate program for neuroscience and director of the computational neuroscience PhD specialization at Boston University. He joined the Department of Speech, Language, & Hearing Sciences at BU that same year. Since 1998 he has been a member of the Speech and Hearing Bioscience and Technology PhD program in the Harvard University – MIT Division of Health Sciences and Technology, and since 2003 he has been a visiting scientist in the Department of Radiology at Massachusetts General Hospital. Dr. Guenther has authored over 55 articles concerning the neural bases of speech and motor control as well as brain–computer interface technology.

He is currently a professor of speech, language, and hearing sciences and biomedical engineering at Boston University.

Featured Speakers

Dr. Ingo Titze

Director of NCVS

Dr. Anil Palaparthi

NCVS Board

Dr. Brad Story

NCVS Board

Dr. Ana Flavia Zuim

NCVS Insights, Editor

Selected Topics

Machine Learning

Machine learning is changing the face of nearly every industry. We’ll discuss the future benefits and challenges of machine learning in the world of voice and speech.

Artificial Intelligence

With artificial intelligence breeding new technologies, we’ll dive deep into the future of research, clinical vocology and the pedagogy of the voice.

The Science of Voice

Understanding the physics of vocalization clarifies the physiology of the voice. We’ll discuss how machine learning is bringing greater clarity to both aspects of voice and speech.

Key Techniques

Our focus is practical. We’ll discuss key techniques that can be used in the lab, the clinic or the studio to help further the understanding of voice and speech.

  • Advanced Data Analysis
  • Aerodynamics
  • Anatomy
  • Bio-Acoustics
  • Biomechanics
  • Computational & Experimental Modeling
  • Fluid-Structure-Acoustic Interactions
  • Image Processing
  • Laryngeal Pathologies
  • Machine Learning
  • Molecular and Cellular Biology
  • Neurobiology
  • Neurophysiology
  • New Technologies
  • Physiology
  • Speech-Motor-Control
  • Tissue Engineering

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