Computationally efficient voice dialing system

Simple item page
buir.advisorÇetin, Enis
dc.contributor.authorSolmaz, Mustafa Hakan
dc.date.accessioned2016-01-08T20:15:57Z
dc.date.available2016-01-08T20:15:57Z
dc.date.issued1998
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent University, 1998.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1998.en_US
dc.descriptionIncludes bibliographical references leaves [39]-41.en_US
dc.description.abstractSubband based feature parameters are becoming widely used for speech recognition purposes. In this thesis a subband-based, small-vocabulary, speaker-dependent, isolated-word recognition system is proposed. The most distinctive property of the proposed system is its low computational cost which enables it to run at real-time on a simple microcontroller. The system is used as the core of a voice dialer which is designed to work together with Karel switchboxes. In training section first, an energy-based endpoint (startingpoint) detection method is applied for speech detection. Then feature extraction is applied on a fixed length, pcm-quantized (a-law) speech long enough to cover a single word. In recognition section template matching is used to find the most likely vocabulary element. A recognition rate of 93% is obtained in the simulations.en_US
dc.description.degreeM.S.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T20:15:57Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilitySolmaz, Mustafa Hakanen_US
dc.format.extentx, 44 leaves, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/18070
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSubband decompositionen_US
dc.subjectEndpoint detectionen_US
dc.subjectTemplate matchingen_US
dc.subjectSpeech quantizationen_US
dc.subject.lccTK7882.S65 S65 1998en_US
dc.subject.lcshSpeech processing systems.en_US
dc.subject.lcshSignal processing--Digital techniques.en_US
dc.subject.lcshSpeech recognition systems.en_US
dc.subject.lcshDiscrete-time systems.en_US
dc.titleComputationally efficient voice dialing systemen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
B044707.pdf
Size:
4.2 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Dept. of Electrical and Electronics Engineering - Master's degree