FPGA-based simultaneous multichannel audio processor for musical genre indexing applications in broadcast band

This paper presents an architecture for real-time music genres classification on broadcast data from the standard Frequency Modulation (FM) radio band. The architecture is composed of an FPGA-based MFCC (Mel-Frequency Cepstral Coefficient) feature extraction stage, followed by a classification procedure. The proposed system enables automatic audio indexing of broadcast data from the standard FM radio band. Using a system-level design approach that reduces overall design time, the system was successfully implemented on Virtex 6 FPGA clocked at more than 150 MHz. The experiments have shown on one hand, a high accuracy between the FPGA-based MFCC calculation and its Matlab-based reference model, and on the other hand, nearly similar result when used in music genre classification with sequential patterns mining techniques. Furthermore, the proposed system satisfies real-time requirements, multichannel scalability and is suitable for indexing applications in embedded systems. Results are also discussed regarding operating frequencies and resources utilization.