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- W1999022563 abstract "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. This phoneme recognition system is intended to be implemented on a dedicated chip, along with the Discrete Wavelet Transforms (DWTs) for feature extraction, to further improve the resultant performance." @default.
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- W1999022563 date "2013-07-01" @default.
- W1999022563 modified "2023-09-26" @default.
- W1999022563 title "Hardware-based support vector machine for phoneme classification" @default.
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- W1999022563 doi "https://doi.org/10.1109/eurocon.2013.6625206" @default.
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