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Моделирование особенностей речи диктора

Моделирование особенностей речи диктора

Abstract

Для создания системы верификации диктора в статье была предложена методика верификации на основе шипящих звуков, которая использует авторские методы, осуществляющие обобщенную классификацию звуков посредством дискретного и непрерывного вейвлет-преобразования. Для шипящих звуков, выделенных этими методами, проведен количественный анализ систем признаков, основанных на линейном предсказании, нормированном количестве импульсов равной длины и мел-частотных кепстральных коэффициентах (

Keywords

ВЕРИФИКАЦИЯ ДИКТОРА,ОБОБЩЕННАЯ КЛАССИФИКАЦИЯ ЗВУКОВ,ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЕ,ЛИНЕЙНОЕ ПРЕДСКАЗАНИЕ,НОРМИРОВАННОЕ КОЛИЧЕСТВО ИМПУЛЬСОВ РАВНОЙ ДЛИНЫ,МЕЛ-ЧАСТОТНЫЕ КЕПСТРАЛЬНЫЕ КОЭФФИЦИЕНТЫ,АЛГОРИТМ DTW

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze