A hybrid approach for speech enhancement using Bionic wavelet transform and Butterworth filter

Abstract

Digital noise reduction schemes are proposed for minimizing the output of the hearing aid in the existence of noise. That oversimplification does not observe the reality that individual perception and preference determine which sounds are required and which sounds are not required. Though numerous approaches have been endorsed to diminish the noise level, there is a necessity of development in the noise reduction systems. This paper offered a hybrid method to shrink the commotion in the signals. First, the robust signal is fetched from the database and that signal is subjected to pre-reconstruction with the assistance of empirical mode decomposition. After that the input to Bionic wavelet transform (BWT) is set as the resultant reconstructed signal to derive the de-noised signal. Butterworth filter is used for fine tuning de-noised signal. Consequently, inverse BWT is utilized to derive the final de-noised signal. The recommended methodology is implemented in the MATLAB platform. This method is assessed utilizing more number of noises; furthermore, the technique's performance is matched with the prevailing noise removal techniques.

KEYWORDS:

• Butterworth filter
• Bionic wavelet transform
• noise removal

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Anil Garg

Anil Garg received his B.E. in electronics and communication engineering from MD University, Rohtak, in 2001 and M.Tech. in electronics and communication engineering from Kurukshetra University, Kurukshetra, India, in 2008. He has got teaching experience of more than 15 years. He is currently pursuing Ph.D. from National Institute of Technology Kurukshetra in the field of speech enhancement. He has more than 10 papers to his credit in national and international conferences and journals. His research interests include signals and systems, digital-signal processing, and speech enhancement.

O. P. Sahu

O. P. Sahu received B.E. in electronics and communication engineering from Rani Durgavati Vishwavidyalaya, Jabalpur, India, in 1989 and M.Tech. in electronics and communication engineeringand Ph.D. in the area of multirate filter banks from National Institute of Technology, Kurukshetra, India, in 1991 and 2005, respectively. In 1991, he joined as a Lecturer in the Department of Electronics and Communication Engineering, National Institute of Technology, Kurukshetra, and was promoted as Assistant Professor in 1999 and rose to the level of Professor in 2009. He has more than 60 papers to his credit in national and international conferences and journals. His research interests include instrumentation and measurement, signals and systems, digital-signal processing, and fuzzy systems.