Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell University Graduate School
  3. Cornell Theses and Dissertations
  4. EchoNose - AN ACOUSTIC NASAL INTERFACE FOR SILENT SPEECH RECOGNITION

EchoNose - AN ACOUSTIC NASAL INTERFACE FOR SILENT SPEECH RECOGNITION

File(s)
Steeper_cornell_0058O_11547.pdf (34.6 MB)
Permanent Link(s)
https://doi.org/10.7298/8f4a-qz51
https://hdl.handle.net/1813/112158
Collections
Cornell Theses and Dissertations
Author
Steeper, Benjamin
Abstract

EchoNose is a minimally-invasive wearable device capable of detecting silent speech words and articulators (such as tongue movement) using active acoustic sensing through the nasal cavity. This effect is possible due to the interconnectivity of the upper respiratory tract cavities. We explore the feasibility of EchoNose by (1) continuously tracking speech articulators using an electromagnetic articulograph (EMA) for ground truth, and (2) conducting a silent speech user study with 6 participants comparing EchoNose against CV performance on a list of 21 common words and 10 “tongue-specific” words.

Description
54 pages
Date Issued
2022-08
Keywords
Acoustics
•
Active Acoustic Sensing
•
HCI
•
Silent Speech
•
Tongue Tracking
•
Wearable
Committee Chair
Zhang, Cheng
Committee Member
Tilsen, Sam
Degree Discipline
Computer Science
Degree Name
M.S., Computer Science
Degree Level
Master of Science
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/15578970

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance