- Tytuł:
- Speech Segmentation Algorithm Based on an Analysis of the Normalized Power Spectral Density
- Autorzy:
-
Pekar, D.
Tsikhanenka, S. - Powiązania:
- https://bibliotekanauki.pl/articles/308533.pdf
- Data publikacji:
- 2010
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
phoneme segmentation
power spectral density
short-term signal energy
speaker independent
voice systems - 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.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2010, 4; 44-49
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł