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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Збережено в:
Бібліографічні деталі
Дата:2013
Автор: Solovyev, V. I.
Формат: Стаття
Мова:rus
Опубліковано: Інститут проблем реєстрації інформації НАН України 2013
Теми:
Онлайн доступ: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
Опис
Резюме: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.