5 August 2009 Nonlinear dynamics approach to speech detection in noisy signals
Author Affiliations +
Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75021M (2009) https://doi.org/10.1117/12.837837
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland
Abstract
The presented paper describes a novel approach to detection of speech corrupted by noise. The proposed procedure is based on fractal dimension, which is being evaluated directly from speech signal samples using two different methods: box-counting and the approach proposed by Katz. The recordings, taken from TIMIT database, were corrupted by five different types of noise (white, pink, hf-channel, babble and factory) with four noise amplitudes (5,10,15,20 dB). The resulting noisy speech was the subject of the analysis. The Otsu's method was used to determine a threshold value for differentiating between noise-only and noisy-speech segments. It has been shown that fractal dimension-based approach provides good basis for detecting speech under a presence of noise.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lukasz J. Bronakowski, Lukasz J. Bronakowski, } "Nonlinear dynamics approach to speech detection in noisy signals", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021M (5 August 2009); doi: 10.1117/12.837837; https://doi.org/10.1117/12.837837
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT


Back to Top