Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/71975
Title: Sociofeedback by application
Authors: Yan, Aiden Guo Ting
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: This project focuses on the development of an application with real-time feedback for improving speaking dialog as its functionality. The deployment platform of the application is in Android environment, which is a widely supported and open source environment. It was also optimized to accomplish real-time speech signal processing and features classification standalone on the Android mobile device. This paper illustrates the process of enhancement of previously developed Sociofeedback Application on Google Glass by a Final Year Student. The application will set to be used in dialogs, lecture, presentation or speech etc. It will able to analyse the user voice input and provides analysed low-level features as feedback in a summary report. In future, the application has the potential to process more accurate and complex signal processing algorithm on the mobile device itself, which these processing algorithm was conventionally done on computer machine using on MatLab, C++ and etc. that has no portability in mind. With an application, it will be easily deployable through mobile application store and directly implemented by any users for environments such as teaching, debating, presentation, speech training, etc.
URI: http://hdl.handle.net/10356/71975
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Final Report.pdf
  Restricted Access
4.92 MBAdobe PDFView/Open

Page view(s) 5

85
checked on Oct 20, 2020

Download(s) 5

10
checked on Oct 20, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.