Asilomar 2024
Paper Submission
Submit or Revise a Paper
Check Status of a Paper
Registration
Register Online
Attendee Invitation Letter
Invitation Letters
Author Invitation Letter
Attendee Invitation Letter
Technical Program
Session TA7a
Paper TA7a.3
TA7a.3
Quantum Machine Learning and Spectrogram Fusion for Speech Recognition
Leslie Miller, Glen Uehara, Tanay Kamlesh Patel, Salil Naik, Andreas Spanias, Arizona State University, United States
Session:
TA7a: Speech Classification and Recognition
Lecture
Track:
Speech, Image and Video Processing
Location:
Oak Shelter
Presentation Time:
Tue, 29 Oct, 09:05 - 09:30 PT (UTC -8)
Session Chair:
Andreas Spanias, Arizona State University
Presentation
Discussion
Resources
No resources available.
Session TA7a
TA7a.1: Voice Source Bio-markers in the Discrimination of Parkinsonian Talkers With and Without Perceptual Dysarthria
Sudarsana Kadiri, Shrikanth Narayanan, University of Southern California, United States
TA7a.2: Explainable Camera Model Identification Employing log-Mel Spectrograms from Videos’ Audio
Christos Korgialas, Ioannis Tsingalis, George Tzolopoulos, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
TA7a.3: Quantum Machine Learning and Spectrogram Fusion for Speech Recognition
Leslie Miller, Glen Uehara, Tanay Kamlesh Patel, Salil Naik, Andreas Spanias, Arizona State University, United States
TA7a.4: Navajo Speech Recognition Using Low-Resource Language Models
Emery Sutherland, Melvatha R. Chee, Marios S. Pattichis, The University of New Mexico, United States
Contacts