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- W2118508889 abstract "The analysis of three sets of feature vectors used in speaker identification (ID) systems for speech signals received in encoding-decoding process with AMR, SPEEX and MELP coders has been presented. We have analyzed feature sets for various speech coding bit rates using SVM-based speaker ID system. The results were compared with identification accuracy obtained with vectors where fundamental frequency was an additional feature. Performed experiments show that such feature contributes better identification accuracy for coded speech than uncoded one in most cases." @default.
- W2118508889 created "2016-06-24" @default.
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- W2118508889 date "2008-01-01" @default.
- W2118508889 modified "2023-09-25" @default.
- W2118508889 title "Speech coding influence on features dedicated to speaker identification" @default.
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- W2118508889 doi "https://doi.org/10.1109/icses.2008.4673476" @default.
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