Audio Classification Based on Association and Hybrid Optimization Technique

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
In pattern recognition areas and data mining, audio data classification is a most important topic. This paper describes a new classification method, where Optimal classification Rule Extraction for multi-class Audio Data (O-cREAD). This classification method uses a new hybrid optimization approach for extracting optimal classification rules and then these optimal rules are further used for classifying multi-class testing audio data to their respective classes with better accuracy. The optimal classification rule extraction is a two-step process.

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