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Tytuł: Unsupervised Phoneme Segmentation Based on Main Energy Change for Arabic Speech, Journal of Telecommunications and Information Technology, 2017, nr 1

Autor:

Lachachi, Noureddine

Data wydania:

2017, nr 1

Typ zasobu:

artykuł

Opis:

In this paper, a new method for segmenting speech at the phoneme level is presented. For this purpose, author uses the short-time Fourier transform of the speech signal. The goal is to identify the locations of main energy changes in frequency over time, which can be described as phoneme boundaries. A frequency range analysis and search for energy changes in individual area is applied to obtain further precision to identify speech segments that carry out vowel and consonant segment confined in small number of narrow spectral areas. This method merely utilizes the power spectrum of the signal for segmentation. There is no need for any adaptation of the parameters or training for different speakers in advance. In addition, no transcript information, neither any prior linguistic knowledge about the phonemes is needed, or voiced/unvoiced decision making is required. Segmentation results with proposed method have been compared with a manual segmentation, and compared with three same kinds of segmentation methods. These results show that 81% of the boundaries are successfully identified. This research aims to improve the acoustic parameters for all the processing systems of the Arab speech.

Wydawca:

National Institute of Telecommunications

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1963

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

phoneme segmentation formant analysis energy changes band frequencies

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

11 maj 2017

Data dodania obiektu:

10 maj 2017

Liczba wyświetleń treści obiektu:

60

Wszystkie dostępne wersje tego obiektu:

https://ribes-54.man.poznan.pl/publication/2240

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Nazwa wydania Data
Lachach,i Noureddine, Unsupervised Phoneme Segmentation Based on Main Energy Change for Arabic Speech, Journal of Telecommunications and Information Technology, 2017, nr 1 11 maj 2017

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

Tsikhanenka, Siarhei Pekar, Dzmitry

2010, nr 4
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