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Signal Representation Attribute Extraction and the Use Distinctive Features for Phonetic Classification

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Academic year: 2020

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Table 1: Corpus I consists of 16 monothong and diphthong vow- els. It is used for investigation of signal representation
Figure 2: Performance on noisy and clean speech
Figure 3: Experimental paradigm comparing direct phonetic features. classification with attribute extraction, and the use of linguistic The mean rate response is chosen to be the signal
Figure 4: Performance of the six classification pathways in our experimental paradigm

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