Real-time socio-feedback on android phones

• Main Author: Cheng, Jingwen.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/54200
• Institution: Nanyang Technological University

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.