Small-vocabulary speech recognition using a silent speech interface based on magnetic sensing

2013 ◽  
Vol 55 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Robin Hofe ◽  
Stephen R. Ell ◽  
Michael J. Fagan ◽  
James M. Gilbert ◽  
Phil D. Green ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Magnetic Sensing ◽  
Speech Interface ◽  
Silent Speech

Evaluation of a Silent Speech Interface Based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary

2017 ◽  
Author(s):  
Jose A. Gonzalez ◽  
Lam A. Cheah ◽  
Phil D. Green ◽  
James M. Gilbert ◽  
Stephen R. Ell ◽  
...  
Keyword(s):  
Deep Learning ◽  
Magnetic Sensing ◽  
Speech Interface ◽  
Silent Speech

Evaluation of a silent speech interface based on magnetic sensing

2010 ◽  
Author(s):  
Robin Hofe ◽  
Stephen R. Ell ◽  
Michael J. Fagan ◽  
James M. Gilbert ◽  
Phil D. Green ◽  
...  
Keyword(s):  
Magnetic Sensing ◽  
Speech Interface ◽  
Silent Speech

scholarly journals End-To-End Silent Speech Recognition with Acoustic Sensing

2021 ◽  
Author(s):  
Jian Luo ◽  
Jianzong Wang ◽  
Ning Cheng ◽  
Guilin Jiang ◽  
Jing Xiao
Keyword(s):  
Speech Recognition ◽  
Acoustic Sensing ◽  
End To End ◽  
Silent Speech

The Design and Evaluation of a Speech Interface for Generation of Air Tasking Orders

2000 ◽  
Vol 44 (22) ◽  
pp. 750-753 ◽  
Author(s):  
David T. Williamson ◽  
Timothy P. Barry
Keyword(s):  
Speech Recognition ◽  
Planning Process ◽  
Data Entry ◽  
Command And Control ◽  
Error Rates ◽  
Subject Matter Experts ◽  
Speech Interface ◽  
System Selection ◽  
And Control ◽  
Operations Center

This paper discusses the design, implementation, and evaluation of a prototype speech recognition interface to the Theater Air Planning (TAP) module of Theater Battle Management Core Systems (TBMCS). This effort was in support of a Kenney Battlelab Initiative proposal submitted to the Command and Control Battlelab at Hurlburt Field, FL to assess the operational benefits of speech recognition for data entry applications in a Joint Air Operations Center environment. Several factors contributing to the design of the “TAPTalk” speech interface included interviews with subject matter experts, speech system selection, grammar development, and integration into TAP, which required only minor modification of existing software. Results from the two week operational assessment with sixteen subjects from the Command and Control Training and Innovation Group, numbered Air Forces, Navy, and Marine Corp indicated that the Theater Air Planning process could be accomplished significantly faster with no increase in error rates. Subjectively, the sixteen planners unanimously agreed that the TAPTalk speech interface was a valuable addition to TAP and would recommend its inclusion in a future upgrade. Recommendations for further improving the TAPTalk system are discussed.

The effects of different training modes on the performance of silent speech recognition based on high-density sEMG

2021 ◽  
Author(s):  
Yao Pi ◽  
Mingxing Zhu ◽  
Zijian Yang ◽  
Xin Wang ◽  
Cheng Wang ◽  
...  
Keyword(s):  
Speech Recognition ◽  
High Density ◽  
Silent Speech
Sign in / Sign up

Export Citation Format

Share Document