Tytuł:

Speech Segmentation Algorithm Based on an Analysis of the Normalized Power Spectral Density, Journal of Telecommunications and Information Technology, 2010, nr 4

Autor:

Tsikhanenka, Siarhei ; Pekar, Dzmitry

Temat i słowa kluczowe:

short-term signal energy ; voice systems ; phoneme segmentation ; power spectral density ; speaker independent

Opis:

This article demonstrates a new approach to speaker independent phoneme detection. The core of the algorithm is to measure the distance between normalized power spectral densities in adjacent, short-time segments and verify it based on velocity of changes of values of short-time signal energy analysis. The results of experiment analysis indicate that proposed algorithm allows revealing a phoneme structure of pronounced speech with high probability. The advantages of this algorithm are absence of any prior information on a signal or model of phonemes and speakers that allows the algorithm to be speaker independent and have a low computation complexity.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Data wydania:

2010, nr 4

Typ zasobu:

artykuł

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2010.4.1095

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności