Real-time socio-feedback on android phones

In this paper we introduce a system on the Android phones that can provide real-time socio-feedback during ongoing conversations. By using Android phone as audio recorder and feedback displayer, the system analyzes the speech signals and provides feedback to the speakers in real time. The process of...

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Bibliographic Details
Main Author: Cheng, Jingwen.
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54200
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author Cheng, Jingwen.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Cheng, Jingwen.
author_sort Cheng, Jingwen.
collection NTU
description In this paper we introduce a system on the Android phones that can provide real-time socio-feedback during ongoing conversations. By using Android phone as audio recorder and feedback displayer, the system analyzes the speech signals and provides feedback to the speakers in real time. The process of how the signal being analyzed in the operator through speech segmentation and Support vector machines (SVM) algorithm is also being presented. The well-designed feedback logos and message are also introduced in the different corresponding scenarios. The Android application starts automatically when a phone call comes and stops when phone call hangs up. Once the whole system starts, the analysis and the feedback giving run automatically without any external operator. In the future, our socio-feedback system can be useful to variety of situations as self-training, interview, group discussions etc.
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spelling ntu-10356/542002023-07-07T17:39:27Z Real-time socio-feedback on android phones Cheng, Jingwen. School of Electrical and Electronic Engineering Justin Dauwels DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this paper we introduce a system on the Android phones that can provide real-time socio-feedback during ongoing conversations. By using Android phone as audio recorder and feedback displayer, the system analyzes the speech signals and provides feedback to the speakers in real time. The process of how the signal being analyzed in the operator through speech segmentation and Support vector machines (SVM) algorithm is also being presented. The well-designed feedback logos and message are also introduced in the different corresponding scenarios. The Android application starts automatically when a phone call comes and stops when phone call hangs up. Once the whole system starts, the analysis and the feedback giving run automatically without any external operator. In the future, our socio-feedback system can be useful to variety of situations as self-training, interview, group discussions etc. Bachelor of Engineering 2013-06-14T08:11:01Z 2013-06-14T08:11:01Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54200 en Nanyang Technological University 48 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Cheng, Jingwen.
Real-time socio-feedback on android phones
title Real-time socio-feedback on android phones
title_full Real-time socio-feedback on android phones
title_fullStr Real-time socio-feedback on android phones
title_full_unstemmed Real-time socio-feedback on android phones
title_short Real-time socio-feedback on android phones
title_sort real time socio feedback on android phones
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
url http://hdl.handle.net/10356/54200
work_keys_str_mv AT chengjingwen realtimesociofeedbackonandroidphones