Hardware-based support vector machine for phoneme classification

  title={Hardware-based support vector machine for phoneme classification},
  author={Michelle Cutajar and Edward Gatt and Ivan Grech and Owen Casha and Joseph Micallef},
  journal={Eurocon 2013},
This paper presents the design of a digital hardware implementation based on Support Vector Machines (SVMs), for the task of multi-speaker phoneme recognition. The One-against-one multiclass SVM method, with the Radial Basis Function (RBF) kernel was considered. Furthermore, a priority scheme was also included in the architecture, in order to forecast the three most likely phonemes. The designed system was synthesised on a Xilinx Virtex-II XC2V3000 FPGA, and evaluated with the TIMIT corpus… CONTINUE READING


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