Abstract
Local Binary Patterns (LBP) have been used in 2-D image processing for applications such as texture segmentation and feature detection. In this paper a new 1-dimensional local binary pattern (LBP) signal processing method is presented. Speech systems such as hearing aids require fast and computationally inexpensive signal processing. The practical use of LBP based speech processing is demonstrated on two signal processing problems: - (i) signal segmentation
and (ii) voice activity detection (VAD). Both applications use the underlying features extracted from the 1-D LBP. The proposed VAD algorithm demonstrates the simplicity of 1-D LBP processing with low computational complexity. It is
also shown that distinct LBP features are obtained to identify the voiced and the unvoiced components of speech signals
and (ii) voice activity detection (VAD). Both applications use the underlying features extracted from the 1-D LBP. The proposed VAD algorithm demonstrates the simplicity of 1-D LBP processing with low computational complexity. It is
also shown that distinct LBP features are obtained to identify the voiced and the unvoiced components of speech signals
| Original language | English |
|---|---|
| Pages | 95-99 |
| Number of pages | 5 |
| Publication status | Published - 2010 |
| Event | 18th European Signal Processing Conference (EUSIPCO-2010) - Aalborg, Denmark Duration: 23 Aug 2010 → 27 Aug 2010 |
Conference
| Conference | 18th European Signal Processing Conference (EUSIPCO-2010) |
|---|---|
| Country/Territory | Denmark |
| City | Aalborg |
| Period | 23/08/10 → 27/08/10 |
Keywords
- local binary patterns
- 1-dimensional
- signal processing
