Music Feature Extraction Method Based on Internet of Things Technology and Its Application

Area of Science:

• Computer Science
• Signal Processing
• Music Information Retrieval

Background:

• Identifying music features is challenging due to complex music theory, specialization, and variations.
• Existing methods may struggle with the nuances of diverse musical characteristics.

Purpose of the Study:

• To develop and validate an Internet-based system for robust music feature identification.
• To enhance the accuracy of recognizing music tunes and modes.

Main Methods:

• A multi-layered system utilizing audio sensors, a TMS320VC5402 digital signal processor for signal processing, and an Internet transport layer.
• Application layer employs dynamic time warping and mel-frequency cepstrum coefficients for characteristic analysis and recognition.

Main Results:

• Experimental verification demonstrates consistent system operation and high-quality audio sample acquisition.
• The system successfully extracts relevant music characteristics, enabling accurate identification of tunes and modes.

Conclusions:

• The developed Internet-based system provides a reliable solution for music feature identification.
• The methodology shows promise for improving music information retrieval and analysis.