Identification of Voice Characteristics on the Base of Wavelet Transformation Maximums
The results of studies on the development of the methodology and mathematical model of detection and analysis of self-similar structures in the utterances of audio files have been demonstrated. The model allows through Morlet wavelet basis to allocate the spatial domain scaling graphs geometric form...
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| Datum: | 2013 |
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| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | Russian |
| Veröffentlicht: |
Інститут проблем реєстрації інформації НАН України
2013
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| Schlagworte: | |
| Online Zugang: | http://drsp.ipri.kiev.ua/article/view/103377 |
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| Назва журналу: | Data Recording, Storage & Processing |
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Data Recording, Storage & Processing| Zusammenfassung: | The results of studies on the development of the methodology and mathematical model of detection and analysis of self-similar structures in the utterances of audio files have been demonstrated. The model allows through Morlet wavelet basis to allocate the spatial domain scaling graphs geometric formations with ridge-like structure. It is shown that these structures, under certain conditions, are of the one-to-one correspondence to the individual characteristics of the voice. Fig.: 4. Refs: 26 titles. |
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