Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Development of Scoring Algorithm for Karaoke Computer Games
KTH, Skolan för elektro- och systemteknik (EES), Signalbehandling.
2012 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
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.

sted, utgiver, år, opplag, sider
2012. , s. 112
Serie
EES Examensarbete / Master Thesis ; XR-EE-SB 2012:004
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-98757OAI: oai:DiVA.org:kth-98757DiVA, id: diva2:538862
Utdanningsprogram
Master of Science - Wireless Systems
Uppsök
Technology
Examiner
Tilgjengelig fra: 2012-07-02 Laget: 2012-07-02 Sist oppdatert: 2012-07-02bibliografisk kontrollert

Open Access i DiVA

fulltext(1044 kB)2933 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1044 kBChecksum SHA-512
bdbb1ae583b020c79a67c3b2fb01c743a6d293b465709a511c2bd01dcab28e95581542502c7ef1a3269ca608a594da5620b5d0f14d085e430663e4ba9ebb230c
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 2933 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 300 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf