1. Customer Satisfaction Based on Voice Signals
Siyamamkela Bomela
Supervisor: Reg Dodds
Co-supervisor: Mehrdad Ghazi-Asgar

2. Introduction Background User Requirements Requirements Analysis
Project Plan
Questions

3. Background How do you measure customer satisfaction?
Customer satisfaction plays role in success of business
Happy customers become loyal customers

4. User Requirements
Develop a system that determines if user is happy, sad or neutral.
Satisfied or Dissatisfied Customer
Used on a computer
User friendly

5. Tools that will be used A microphone A computer
A pre-existing voice dataset
Python

6. Requirements Analysis
User speaks into microphone
Only one user at a time
System records sample of users voice
Compare user sample to database
Give result

7. Project Plan Term 1: Requirements Analysis Research on topic
Get dataset
Install Python
Understand Algorithms
Term 2: System Design
Develop a prototype
Term 3: Implementation
Finish coding the system
Term 4: Testing and Evaluation
Test the system for any errors

8. References
Oh-Wook Kwon, Kwokleung Chan, Jiucang Hao, Te-Won Lee, Emotion Recognition by Speech Signals ,Institute for Neural Computation University of California, San Diego, USA
Sherif Yacoub, Steve Simske, Xiaofan Lin, John Burns , Recognition of Emotions in Interactive Voice Response Systems , HP Laboratories Palo Alto

9. Questions?