Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/17879
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCutajar, Michelle-
dc.contributor.authorGatt, Edward-
dc.contributor.authorGrech, Ivan-
dc.contributor.authorCasha, Owen-
dc.contributor.authorMicallef, Joseph-
dc.date.accessioned2017-03-27T11:22:32Z-
dc.date.available2017-03-27T11:22:32Z-
dc.date.issued2013-
dc.identifier.citationCutajar, M., Gatt, E., Grech, I., Casha, O., & Micallef, J. (2013). Discrete wavelet transforms with multiclass SVM for phoneme recognition. EuroCon 2013, Zagreb. 1695-1700.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/17879-
dc.description.abstractA phoneme recognition system based on Discrete Wavelet Transforms (DWT) and Support Vector Machines (SVMs), is designed for multi-speaker continuous speech environments. Phonemes are divided into frames, and the DWTs are adopted, to obtain fixed dimensional feature vectors. For the multiclass SVM, the One-against-one method with the RBF kernel was implemented. To further improve the accuracies obtained, a priority scheme was added, to forecast the three most likely phonemes. After classification, all frames were again re-grouped, in order to evaluate the accuracy of the system according to the substitution, deletion and insertion errors. The percentage correct and accuracy, obtained from the designed phoneme recognition system, were 63.08% and 53.27% respectively. All tests were carried out on the TIMIT database. This phoneme recognition system is intended to be implemented on a dedicated chip, to improve the speed of the software implementation by approximately 100 times.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectSupport vector machinesen_GB
dc.subjectSpeech processing systemsen_GB
dc.subjectRadial basis functionsen_GB
dc.subjectWavelets (Mathematics)en_GB
dc.subjectKernel functionsen_GB
dc.titleDiscrete wavelet transforms with multiclass SVM for phoneme recognitionen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameEuroCon 2013en_GB
dc.bibliographicCitation.conferenceplaceZagreb, Croatia, 01-04/07/2013en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/EUROCON.2013.6625205-
Appears in Collections:Scholarly Works - FacICTMN

Files in This Item:
File Description SizeFormat 
Discrete Wavelet Transforms with Multiclass SVM for Phoneme Recognition.pdf
  Restricted Access
Discrete wavelet transforms with multiclass SVM for phoneme recognition471.42 kBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.