- Tytuł:
- Rule Based Speech Signal Segmentation
- Autorzy:
-
Greibus, M.
Telksnys, L. - Tematy:
-
rule base
speech analysis
speech endpoint detection
speech segmentation - Pokaż więcej
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Powiązania:
- https://bibliotekanauki.pl/articles/308535.pdf Link otwiera się w nowym oknie
- Opis:
- This paper presents the automated speech signal segmentation problem. Segmentation algorithms based on energetic threshold showed good results only in noise-free environments. With higher noise level automatic threshold calculation becomes complicated task. Rule based postprocessing of segments can give more stable results. Off-line, on-line and extrema types of rules are reviewed. An extrema-type segmentation algorithm is proposed. This algorithm is enhanced by a rule base to extract higher energy level segments from noise. This algorithm can work well with energy like features. The experiments were made to compare threshold and rule-based segmentation in different noise types. Also was tested if multifeature segmentation can improve segmentation results. The extrema rule-based segmentation showed smaller error ratio in different noise types and levels. Proposed algorithm does not require high calculation resources. Such algorithm can be processed by devices with limited computing power.
- Dostawca treści:
- Biblioteka Nauki
Artykuł