Adaptive Speech Noise Cancellation Using Least Mean Square Algorithm
Dr.Y. Amar Babu
Professor, Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, L.B.Reddy Nagar, Mylavaram-521230, Andhra Pradesh, India , IN
M. Chandu
Professor, Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, L.B.Reddy Nagar, Mylavaram-521230, Andhra Pradesh, India , IN
M. Raja
Professor, Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, L.B.Reddy Nagar, Mylavaram-521230, Andhra Pradesh, India , IN
P. Sowjanya
Professor, Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, L.B.Reddy Nagar, Mylavaram-521230, Andhra Pradesh, India , IN
S. Bhargav
Professor, Department of Electronics and Communication Engineering, Lakireddy Balireddy College of Engineering, L.B.Reddy Nagar, Mylavaram-521230, Andhra Pradesh, India , IN
Keywords: Speech Noise cancellation, LMS, JAYA, PSO, Adaptive Filter Application, Noise cancellation Mechanism
Abstract
In any communication noise is always has been playing an undesirable performance. Irrespective of the type of the signals (i.e., Speech, Audio/Video, Image) that we acquire at the receiver side is affected by noise. Noise is an unwanted portion of the signals. During transmission signals gets effected by noise. So, we have to cancel out the noise content which modifies the transmitted version during processing, storage and conversions. In voice communication recorded/live speech data signal transmitted will be very useless, unless a perfect noise cancellation system is adopted. There are many kinds of such mechanisms. In this paper we approached and adopted an adaptive noise cancellation, and by implementing the three algorithms (LMS, JAYA, PSO) noise eliminated to some extent and the gain percentage from the base paper is 35%.ss Adaptive filtering applications serves their best in Interference and noise cancellations.
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