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https://www.um.edu.mt/library/oar/handle/123456789/92559
Title: | Iterative classification of regional British accents in i-vector space |
Authors: | DeMarco, Andrea Cox, Stephen |
Keywords: | Natural language processing (Computer science) Speech processing systems Machine learning Automatic speech recognition Signal processing Support vector machines |
Issue Date: | 2012 |
Publisher: | ISCA |
Citation: | DeMarco, A., & Cox, S. J. (2012). Iterative classification of regional British accents in i-vector space. In Symposium on machine learning in speech and language processing, Oregon. 1-4. |
Abstract: | Joint-Factor Analysis (JFA) and I-vectors have been shown to be effective for speaker verification and language identification. Channel factor adaptation has also been used for language and accent identification. In this paper, we show how these techniques can be used successfully in the task of accent classification, and we achieve good accuracy on a 14 accent problem using a novel iterative classification framework based on an iterative linear/quadratic classifier. These results compare favourably with recent results obtained using other non-fused acoustic techniques. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/92559 |
Appears in Collections: | Scholarly Works - InsSSA |
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Iterative_classification_of_regional_British_accents_in_i_vector_space(2012).pdf Restricted Access | 605.12 kB | Adobe PDF | View/Open Request a copy |
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