Voice recognition system used in telephone apparatus

1994 ◽  
Vol 95 (2) ◽  
pp. 1186-1186
Author(s):  
Kuniyoshi Marui
Keyword(s):  
Voice Recognition ◽  
Recognition System

ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

2019 ◽  
Vol 12 ◽  
Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb
Keyword(s):  
Feature Extraction ◽  
Computer Program ◽  
Principle Component Analysis ◽  
Voice Recognition ◽  
Component Analysis ◽  
Recognition System ◽  
Principle Component ◽  
Whole Process ◽  
The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

scholarly journals Stand-Alone Intelligent Voice Recognition System

2014 ◽  
Vol 05 (04) ◽  
pp. 179-190 ◽  
Author(s):  
Mohammed R. Saady ◽  
Hatem El-Borey ◽  
El-Sayed A. El-Dahshan ◽  
Ashraf Shamseldin Yahia
Keyword(s):  
Voice Recognition ◽  
Recognition System

Anesthesia Record Keeping by Voice Recognition System

1992 ◽  
pp. 289-290
Author(s):  
Makoto Ozaki ◽  
Kyoko Ozaki ◽  
Kenji Atarashi ◽  
Chiharu Negishi ◽  
Masao Fujita
Keyword(s):  
Voice Recognition ◽  
Recognition System ◽  
Anesthesia Record ◽  
Record Keeping

A Comparison of Three Methods for Controlling Aircraft Systems

1986 ◽  
Vol 30 (7) ◽  
pp. 638-641
Author(s):  
John P. Zenyuh ◽  
John M. Reising
Keyword(s):  
Control Systems ◽  
Relative Effectiveness ◽  
Voice Recognition ◽  
Recognition System ◽  
Control Device ◽  
Control Mode ◽  
Aircraft Systems ◽  
Remote Touch ◽  
The Voice ◽  
Speed And Accuracy

The objective of this study was to compare the relative effectiveness of three modes of subsystem control: a voice recognition system with visual feedback presented on the head-up display, a standard multifunction control device with tailored switching logic, and a remotely operated multifunction control with feedback presented on the head-up display. Comparisons were based on measures of interference with a loading task and overall speed and accuracy of the control operations performed. The working hypothesis was that the voice system and head-up multifunction control would manifest substantially lower interference with the primary task, while subsystem control operation times would remain unaffected by control mode. The results indicate that performance with the remote touch panel was significantly poorer than with the voice or standard multifunction control systems.

Evaluation of a voice recognition system for generation of therapeutic ERCP reports

1991 ◽  
Vol 37 (6) ◽  
pp. 617-620 ◽  
Author(s):  
Benson T. Massey ◽  
Joseph E. Geenen ◽  
Walter J. Hogan
Keyword(s):  
Voice Recognition ◽  
Recognition System ◽  
Therapeutic Ercp
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