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The automatic segmentation and parametrization based on the frequency analysis was used to compare with manually annotated phones. The phones boundaries were fixed in places of relatively large changes in the energy distribution between the frequency bands. Frequency parametrization and clustering enabled the division of phones into groups (clusters) according to their acoustic similarities. The results...
The paper presents an evaluation of Polish phone segmentation for different types of phones. The categorisation was done based on acoustic properties. The segmentation method is based on discrete wavelet transform and was already published. The results show that several types of transitions, especially from and to vowels cause more errors than others.
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