Local binary patterns for 1-D signal processing

N. Chatlani, J.J. Soraghan

Research output: Contribution to conferencePaper

45 Citations (Scopus)

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
LanguageEnglish
Pages95-99
Number of pages5
Publication statusPublished - 2010
Event18th European Signal Processing Conference (EUSIPCO-2010) - Aalborg, Denmark
Duration: 23 Aug 201027 Aug 2010

Conference

Conference18th European Signal Processing Conference (EUSIPCO-2010)
CountryDenmark
CityAalborg
Period23/08/1027/08/10

Fingerprint

Signal processing
Hearing aids
Speech processing
Computational complexity
Image processing
Textures
Processing

Keywords

  • local binary patterns
  • 1-dimensional
  • signal processing

Cite this

Chatlani, N., & Soraghan, J. J. (2010). Local binary patterns for 1-D signal processing. 95-99. Paper presented at 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark.
Chatlani, N. ; Soraghan, J.J. / Local binary patterns for 1-D signal processing. Paper presented at 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark.5 p.
@conference{bd3561449ec3442e81b6eda911621053,
title = "Local binary patterns for 1-D signal processing",
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 segmentationand (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 isalso shown that distinct LBP features are obtained to identify the voiced and the unvoiced components of speech signals",
keywords = "local binary patterns, 1-dimensional, signal processing",
author = "N. Chatlani and J.J. Soraghan",
year = "2010",
language = "English",
pages = "95--99",
note = "18th European Signal Processing Conference (EUSIPCO-2010) ; Conference date: 23-08-2010 Through 27-08-2010",

}

Chatlani, N & Soraghan, JJ 2010, 'Local binary patterns for 1-D signal processing' Paper presented at 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark, 23/08/10 - 27/08/10, pp. 95-99.

Local binary patterns for 1-D signal processing. / Chatlani, N.; Soraghan, J.J.

2010. 95-99 Paper presented at 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Local binary patterns for 1-D signal processing

AU - Chatlani, N.

AU - Soraghan, J.J.

PY - 2010

Y1 - 2010

N2 - 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 segmentationand (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 isalso shown that distinct LBP features are obtained to identify the voiced and the unvoiced components of speech signals

AB - 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 segmentationand (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 isalso shown that distinct LBP features are obtained to identify the voiced and the unvoiced components of speech signals

KW - local binary patterns

KW - 1-dimensional

KW - signal processing

M3 - Paper

SP - 95

EP - 99

ER -

Chatlani N, Soraghan JJ. Local binary patterns for 1-D signal processing. 2010. Paper presented at 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark.