Title :
Improved noise tracking algorithms For speech enhancement using LabVIEW
Author :
Kalamani, M. ; Valarmathy, S.
Author_Institution :
Dept. of ECE, Bannari Amman Inst. of Technol., Sathyamangalam, India
Abstract :
Speech enhancement techniques are widely used to enhance the quality and intelligibility of the speech signal in the noisy environment. Conventional noise reduction methods introduce more residual noise and speech distortion. The existing algorithms fail when there are abrupt changes in the noise level. To overcome the shortcomings of the conventional methods, improved noise tracking algorithm is proposed in this paper for speech enhancement. The noise signal is estimated for the existing and the proposed methods. Results are simulated using LabVIEW. From the evaluated results it is observed that the proposed noise tracking algorithm improve the average noise power from 90% to 97% of the original noise signal power for various noise conditions.
Keywords :
distortion; signal denoising; speech enhancement; speech intelligibility; virtual instrumentation; LabVIEW; noise reduction methods; noise tracking algorithm; residual noise; speech distortion; speech enhancement techniques; speech signal intelligibility; speech signal quality; Auditory system; Estimation; Noise; Noise measurement; Noise reduction; Speech; Speech enhancement; noise estimation; residual noise; speech distortion; speech enhancement; speech intelligibility; speech quality;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location :
Mysore
Print_ISBN :
978-1-4799-2432-5
DOI :
10.1109/ICACCI.2013.6637487
