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DC Field | Value | Language |
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dc.contributor.author | Cutajar, Michelle | - |
dc.contributor.author | Gatt, Edward | - |
dc.contributor.author | Grech, Ivan | - |
dc.contributor.author | Casha, Owen | - |
dc.contributor.author | Micallef, Joseph | - |
dc.date.accessioned | 2017-03-27T11:22:32Z | - |
dc.date.available | 2017-03-27T11:22:32Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Cutajar, 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.uri | https://www.um.edu.mt/library/oar//handle/123456789/17879 | - |
dc.description.abstract | A 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.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Support vector machines | en_GB |
dc.subject | Speech processing systems | en_GB |
dc.subject | Radial basis functions | en_GB |
dc.subject | Wavelets (Mathematics) | en_GB |
dc.subject | Kernel functions | en_GB |
dc.title | Discrete wavelet transforms with multiclass SVM for phoneme recognition | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The 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.conferencename | EuroCon 2013 | en_GB |
dc.bibliographicCitation.conferenceplace | Zagreb, Croatia, 01-04/07/2013 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/EUROCON.2013.6625205 | - |
Appears in Collections: | Scholarly Works - FacICTMN |
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File | Description | Size | Format | |
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Discrete Wavelet Transforms with Multiclass SVM for Phoneme Recognition.pdf Restricted Access | Discrete wavelet transforms with multiclass SVM for phoneme recognition | 471.42 kB | Adobe PDF | View/Open Request a copy |
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