Application of Audio Signal Processing Technology in Music Synthesis

Abstract

The study investigates the application of audio signal processing technology in the realm of music synthesis, aiming to explore its potential in creating, manipulating, and enhancing musical sounds. Through a comprehensive analysis, the research examines various signal-processing techniques and algorithms within the context of digital audio workstations (DAWs), MIDI controllers, and signal-processing software. The experimental setup involves data acquisition, preprocessing, and synthesis techniques encompassing additive, subtractive, frequency modulation (FM), and granular synthesis, as well as processing methods including time stretching, pitch shifting, and reverberation. Evaluation methodologies include subjective listening tests and objective metrics such as signal-to-noise ratio (SNR) and Total Harmonic Distortion (THD). The findings of this study contribute to the understanding of how audio signal processing technology can revolutionize music synthesis, offering insights for musicians, engineers, and researchers alike into harnessing its potential for creative expression and sonic innovation.