Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Comparison between two 3d-sound engines of the accuracy in determining the position of a source
2011 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Augmented reality, AR, has been popular on mobile devices the past years; these AR's are mostly build on graphics extraneous information. Sound can also be used as a part of an AR. For a sound-based AR to work on a mobile device, it needs to represent sounds in the 3d-space well, so that the users can perceive direction and distance to the source and also experience the virtual environment. The current three-dimensional sound engine on iPhone 4, openAL, lacks of both environmental and spatial clues to fully give a pleasant three-dimensional experience. A 3d-sound engine is proposed, using a generalized or individualized head-related transfer function as a spatial model and an image source method for early reflections and feedback delay networks for late reverberation. The proposed 3d-sound engine is implemented and tested against the current engine, openAL, with an additional reverberation module supported for Mac, which is not supported in the current version of OpenAL in iPhone 4. The test compares both 3d-sound engines of the accuracy in locating a source with respect to azimuth, elevation and distance. The result shows that the two sound engines are fairly equal in all three parameters. It also raised the importance of mapping the mental image to the sound source improve the precision.

Place, publisher, year, edition, pages
2011. , p. 64
Keyword [en]
Technology
Keyword [sv]
Teknik, 3d-sound engine, openAL, HRTF, iPhone, feedback delay networks, image source method, head related transfer functions, azimuth, elevation, distance, back-front confusion
Identifiers
URN: urn:nbn:se:ltu:diva-49896Local ID: 735355ce-d7df-495f-a04e-802440ae0d73OAI: oai:DiVA.org:ltu-49896DiVA, id: diva2:1023244
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level
Supervisors
Examiners
Note
Validerat; 20110418 (anonymous)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(731 kB)55 downloads
File information
File name FULLTEXT02.pdfFile size 731 kBChecksum SHA-512
17d1317c09a92e77aa95404a0d2aa764e5550fd316e003cfde1c946b924e7ea9ca9434ef5b04255539c586de5c38bb859f48bd18d22633806051970b48604c17
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Linell, Magnus

Search outside of DiVA

GoogleGoogle Scholar
Total: 55 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

urn-nbn

Altmetric score

urn-nbn
Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf