Change search
ReferencesLink to record
Permanent link

Direct link
Development of Scoring Algorithm for Karaoke Computer Games
KTH, School of Electrical Engineering (EES), Signal Processing.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In a Karaoke computer game, the users receive a score as a measure of their performance. A music recognition system estimates the underlying music notes the users have performed. Many developed approaches use deterministic signal processing.

This thesis builds statistical hidden markov models (HMM) to be used in scoring. The HMM-based note models are based on the musical features pitch, accent, zero crossing rate and power. Gaussian mixture models (GMM) are used to determine the probability distributions of the features.

A singing database is constructed by an amateur singer who is well-trained in the area of music. During the training stage, an intra-note model is trained using the HTK toolbox. The intra-note model describes the statistical behavior of model states inside a note.

Then, a group of note models, covering a wide range of pitch, is built upon the trained intra-note model. Also a recognition network is constructed. During the recognition stage, the test data are decoded with the aid of thecnote models and the recognition network.

An experiment compares the proposed approach with the framed-based and note-based approaches. The results show that our approach provides promising results over deterministic approaches.

Place, publisher, year, edition, pages
2012. , 112 p.
EES Examensarbete / Master Thesis, XR-EE-SB 2012:004
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-98757OAI: diva2:538862
Educational program
Master of Science - Wireless Systems
Available from: 2012-07-02 Created: 2012-07-02 Last updated: 2012-07-02Bibliographically approved

Open Access in DiVA

fulltext(1044 kB)2261 downloads
File information
File name FULLTEXT01.pdfFile size 1044 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Signal Processing
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 2261 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 206 hits
ReferencesLink to record
Permanent link

Direct link