• español
    • English
    • Deutsch
  • English 
    • español
    • English
    • Deutsch
  • Login
View Item 
  •   PRCR Home
  • Polytechnic University of Puerto Rico
  • Design Project Articles Master Degree
  • Electrical Engineering
  • View Item
  •   PRCR Home
  • Polytechnic University of Puerto Rico
  • Design Project Articles Master Degree
  • Electrical Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Open Speech Command Translator System for Executing Positive, Negative, and Neutral Decisions

Thumbnail
View/Open
FA-12_Articulo Final_Oscar García.pdf (717.8Kb)
Date
2012
Author
García Bruckman, Oscar
Metadata
Show full item record
Abstract
Abstract - This research proposes a system that uses an open speech command and translates it into a Positive, Negative, or Neutral decision. An ordinary voice command targeted to an object is generally composed of two parts: the object identification, and the desired instruction to execute from it. Using this structure, several voice features could be analyzed such as pitch, intensity, formants, among other statistical characteristics to recognize if a pattern exists. For this research, the “object” segment was ideally converted to text using existing speech-to-text tools; on the other hand, the “instruction” segment was ideally processed by applying a Naïve Bayes Classifier to classify instructions as Positive, Negative, or Neutral with up to 72% accuracy. This idea could be used in external systems for people with special needs, among other yet unimagined applications.The system will enable improved natural interaction between humans and computers by using a basic but effective open communication. Key Terms - Command, Decision, Language,Translator
URI
http://hdl.handle.net/20.500.12475/910
Collections
  • Electrical Engineering

PRC Repository copyright © 2022  COBIMET, Inc.
Contact Us
Theme by 
Atmire NV
 

 

Browse

All of PRCRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

PRC Repository copyright © 2022  COBIMET, Inc.
Contact Us
Theme by 
Atmire NV