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Article . 2014
Data sources: CyberLeninka - Russian open access scientific library
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Исследование каналонезависимых информативных признаков

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего образования «Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики»Journal:Известия высших учебных заведений. Приборостроение (issn: 0021-3454, Copyright policy )

Исследование каналонезависимых информативных признаков

Abstract

Information indicators of speech are analyzed for creation of channel-independent feature space aimed at improvement of speaker recognition system efficiency. For the problem of determination of similarity between several audio recordings, the optimal set of channel-independent information feature vectors is determined experimentally with the use of dynamic time warping.

Исследованы информативные признаки речи с целью формирования каналонезависимого пространства признаков для повышения эффективности функционирования системы распознавания дикторов. Экспериментально определен оптимальный набор каналонезависимых информативных признаков для решения задачи выявления сходства между фонограммами на основе метода динамического программирования.

Keywords

ГОЛОСОВОЙ АНАЛИЗ,SPEECH ANALYSIS,МАШИННОЕ ОБУЧЕНИЕ,MACHINE LEARNING,ВЫБОР ИНФОРМАТИВНЫХ ПРИЗНАКОВ,FEATURE SELECTION,МЕЛ-ЧАСТОТНЫЕ КЕПСТРАЛЬНЫЕ КОЭФФИЦИЕНТЫ,MEL-FREQUENCY CEPSTRAL COEFFICIENTS,МЕТОД ДИНАМИЧЕСКОГО ПРОГРАММИРОВАНИЯ,DYNAMIC TIME WARPING

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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