Customer Satisfaction Based on Voice

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Presentation transcript:

Customer Satisfaction Based on Voice Siyamamkela Bomela 3339142 Supervisor: Reg Dodds Co-supervisor: Mehrdad Ghaziasgar

Overview Quick Recap Implementation Process MFCC Feature Visual Representation Training Tools Used References Demo

Quick Recap

Implementation Read audio file MFCC Training Fast Fourier Transform Mel Scale Filtering Logarithm Discrete Cosine Function Training

MFCC Features Visual Representation

Training and Optimization Support vector machine Supervised training Three classes Feed data into SVM Label data correctly Cross validation Uses radial basis function (RBF) kernel

Tools Used

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: Improving and Testing the system Test the system for any errors and improve functionality of system where possible

References [1] Wu, Z. and Cao, Z. (2005). Improved MFCC-based feature for robust speaker identification. Tsinghua Science and Technology, 10(2), pp.158-161. [2] Singh, S. and Rajan, E. (2011). MFCC VQ based Speaker Recognition and Its Accuracy Affecting Factors. International Journal of Computer Applications, 21(6), pp.1-6.

Demo