A Review of Multimedia Processing and its Application in MIDI

The motive of Multimedia Signal Processing (MSP) is to integrate text, sound, image, and video information into a single communications channel, and to get high-quality communication. It also aims to provide an easy-to-use interactive platform to users worldwide. Musical Instrument Digital Interface (MIDI) is a digital language that allows the connection and interaction of multiple hardware and software instruments, computers and similar devices. This paper presents a review of multimedia processing and its application in MIDI technology to understand the processing of music signals, to find methods to extract desired parameters from those signals and convert them into digital MIDI data. The objective of this paper is to find existing research and scientific tasks performed by various researcher communities. Additionally, it seeks to discover novel uses for this technology in communications and to investigate uncharted territory in this area. Various collaborations of multimedia processing with technologies like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning are currently under use and research. There are different types of multimedia, such as audio, video, text, graphics, etc. MIDI is mostly used for audio processing, but productive and efficient use of MIDI in other domains is still a challenge. This paper will help in finding new paradigm and possible solutions for the challenges of multimedia signal processing for MIDI applications.