
	Information Technology Journal
	Year: 2012 \| Volume: 11 \| Issue: 1 \| Page No.: 154-159 DOI: 10.3923/itj.2012.154.159

Speaker Recognition Based on Mathematical Morphology

Zhou Ping, Du Zhi-Ran and Wang Run-Duo

Abstract: In the field of speaker recognition, the noise of the speech interfered with the correct rate of speaker recognition largely. In order to filter out the noise in the noisy speech and further to improve the correct rate of speaker recognition, a weighted mathematical morphological filter was proposed in this study which can denoise the one-dimensional noisy speech signal. The morphological pre-filtering was conducted before training the speech to improve the matching abilities between the speech to be recognized and the training template. Experiment results showed that, compared with conventional spectral subtraction method, the method presented in this study suppressed the noise effectively and the signal to noise ratio of the output speech was significantly improved and the error rate of the speaker recognition system was further reduced.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Performances of Qualitative Fusion Scheme for Multi-biometric Speaker Verification Systems in Noisy Condition

•	Fatigue Road Signal Denoising Process Using the 4th Order of Daubechies Wavelet Transforms

•	Fuzzy Classification of Simulated Droughts and Floods of Water Bodies

•	Computation of Surface Roughness of Mountains Extracted from Digital Elevation Models

•	Noise Robust Isolated Word Recognition Using Speech Feature Enhancement Techniques

How to cite this article:

Zhou Ping, Du Zhi-Ran and Wang Run-Duo, 2012. Speaker Recognition Based on Mathematical Morphology. Information Technology Journal, 11: 154-159.

DOI: 10.3923/itj.2012.154.159

URL: https://scialert.net/abstract/?doi=itj.2012.154.159

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Science Alert