Real-time Cepstrum-based Audio-to-MIDI Conversion Algorithm

MPhil Thesis Defence


Title: "Real-time Cepstrum-based Audio-to-MIDI Conversion Algorithm"

By

Mr. Chun Ming AU


Abstract

Modern music production relies on digital devices and software. However, music 
production still involves process of playing instruments, which requires 
instrument players to accurately play the designated notes. Such process 
requires repetitive practise and recording. Therefore, researchers have been 
looking for different ways of music information retrieval to analyse music in 
audio form algorithmically. Converting audio to MIDI data is one of the 
important researches in the music information retrieval field, which can 
increase the efficiency of music production as well as analytical tools for 
musicians.

The objective of this thesis is to investigate algorithms to convert audio 
directly to MIDI in real-time, particularly for human voice. Different 
techniques which are crucial to audio-to-MIDI conversion are discussed and 
compared, like pitch detection, Cepstrum analysis and note segmentation 
algorithms.


Date:			Thursday, 30 August 2018

Time:			10:00am - 12:00noon

Venue:			Room 4475
 			Lifts 25/26

Committee Members:	Prof. Andrew Horner (Supervisor)
 			Dr. Raymond Wong (Chairperson)
 			Prof. James Kwok


**** ALL are Welcome ****