Neural Scoring in Karaoke
Date Issued
2006
Date
2006
Author(s)
Hsu, Tay-Ning
DOI
zh-TW
Abstract
The purpose of this thesis is to develop a better score system for the Karaoke singers from the technology of ‘Neural Network Training’ and the simulation of the judging process of human juries.
Several ways of scoring are developed under different Karaoke score system. The traditional way of score system is based on comparing the volumes and the tracks of the original singers with those of the Karaoke singers. The problems of lacking objectivity and fair have been identified. In order to rectify these problems, this thesis adopts the alternative approach. This newer and better way of scoring is based on the technology of neural network training and the simulation of the judging process from human juries and is able to consider the singing and vocal characteristics of the original singers in a better way.
The samples of the neutral network training are all gotten under the practical environment of Karaoke singing. Thus, these experiments are considered as the valuable contributions of this thesis.
Subjects
音樂評分
類神經網路
Neural Network
Karaoke
Type
thesis