Premananda B.S.

Work place: Department of Telecommunication, R.V. College of Engineering, Bengaluru, India



Research Interests: Image Processing, Computer systems and computational processes, Computational Science and Engineering


Premananda B. S. has completed B.E. in Electronics & Communication Engg., in 2000 from Bangalore University and his M.Tech. in Digital Electronics in 2004 from Visveswaraya Technology University, Belagavi, India and pursuing Ph.D. in speech enhancement for mobile devices at the same University. Currently, he is working as Assistant Professor in the Dept. of Telecommunication Engg., at R.V. College of Engineering, Bengaluru, India. He has published 20 papers in national, international conferences and journals. His main areas of interests are in the field of digital signal processing, communication, and VLSI.

Author Articles
Dominant Frequency Enhancement of Speech Signal to Improve Intelligibility and Quality

By Premananda B.S. Uma B.V.

DOI:, Pub. Date: 8 May 2015

In mobile devices, perceived speech signal deteriorates significantly in the presence of near-end noise as the signal arrives directly at the listener's ears in a noisy environment. There is an inherent need to increase the clarity and quality of the received speech signal in noisier environment. It is accomplished by incorporating speech enhancement algorithms at the receiver end. The objective is to improve the intelligibility and quality of the speech signal by dynamically enhancing the speech signal when the near-end noise dominates. This paper proposes a speech enhancement approaches by inculcating the threshold of hearing and auditory masking properties of the human ear. Incorporating the masking properties, the speech samples that are audible can be obtained. In low SNR environments, selective audible samples can be enhanced to improve the clarity of the signal rather than enhancing every loud sample. Intelligibility and quality of the enhanced speech signal are measured using Speech Intelligibility Index and Perceptual Evaluation of Speech Quality. Experimental results connote the intelligibility and quality improvement of the speech signal with the proposed method over the unprocessed far-end speech signal. This approach is efficient in overcoming the deterioration of speech signals in a noisy environment.

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