Pitch-based musical performance scoring for a PC-based karaoke system

• Main Authors: Fabularum, Dann Ralston M., Margallo, Vergel Angelo C., Teng, Robertina Raina Karla B., Umlas, Robert Patrick A., Manzano, Enrique M., Manzano, Maria Carla F.
• Format: text
• Published: Animo Repository 2009
• Subjects: Voice computing; Karaoke; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/8495
• Institution: De La Salle University

Karaoke has grown to be a nationwide amusement. However, standard karaoke machines nowadays lack accurate, interactive and easily comprehensible way of analyzing and critiquing vocal signals. In this paper we propose a study which integrates the general concepts in music with theories and techniques in digital signal processing to produce justified criteria for judging a singer's musical accurateness and tonality through the use of time-frequency analysis tools. Analysis of the singing voice was accomplished by applying a short-time discrete Fourier transform for variable time frames of voice data which was based on the onset times and durations of notes from the reference melody, and by developing a technique in extracting the fundamental frequency component of each voice segment, which contains the pitch for the specific time frame. A scoring platform was developed using a certain criteria, which is geared toward fair judging and proves an improvement with that of the scores given by popular karaoke systems.