Speaker Verification Using Spectral and Durational Segmental Characteristics

Bulgakova, Elena; Sholohov, Aleksei; Tomashenko, Natalia; Matveev, Yuri

doi:10.1007/978-3-319-23132-7_49

Cited by 3 publications

(1 citation statement)

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“…Показатели EER-верификации по речи для двух полов дикторов, % Чтобы изучить возможность совместного использования сравниваемых методов, мы провели их фузирование. В предыдущих исследованиях было выполнено фузирование методов на основе статистик длительностей фонем и формантных признаков [17]. В настоящей работе мы осуществили фузирование всех трех методов.…”

Section: экспериментальные результатыunclassified

Semi-automatic speaker verification system

Владимирович¹,

Иванович²

2016

Naučno-teh. vestn. inf. tehnol. meh. opt.

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Научно-технический вестник информационных технологий, механики и оптики, Mechanics and Optics, 2016, vol. 16, no. 2, pp. 284-289. doi:10.17586/2226-1494 Abstract Subject of Research. The paper presents a semi-automatic speaker verification system based on comparing of formant values, statistics of phone lengths and melodic characteristics as well. Due to the development of speech technology, there is an increased interest now in searching for expert speaker verification systems, which have high reliability and low labour intensiveness because of the automation of data processing for the expert analysis. System Description. We present a description of a novel system analyzing similarity or distinction of speaker voices based on comparing statistics of phone lengths, formant features and melodic characteristics. The characteristic feature of the proposed system based on fusion of methods is a weak correlation between the analyzed features that leads to a decrease in the error rate of speaker recognition.

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Section: экспериментальные результатыunclassified