Reddy B.S.T

Jayaraman V.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)

This paper proposes an algorithm for matrix wiener filter for speech processing in case of hearing AIDS. Hearing aid (HA) devices currently used are less efficient as environmental noise already added into speech signal corrupts it and heard by listener. Introducing wiener filter in HA device allows reducing noise to particular level. By increasing number of secondary channels can enhance the performance of the device. Matrix wiener filter is a technique which considers matrix combination of speech and noise correlations and has better performance than multichannel wiener filter. A multi input multi output (MIMO) system having multiple target speech signals is used, it utilizes matrix wiener filter for nullifying noise in speech which estimates the speech coming towards listener. Wiener matrix coefficients are calculated from speech and noise correlation matrices. Simulation results prove that matrix wiener filter performs better compared to multichannel and single channel wiener filter. © 2016 IEEE.

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

Design of matrix wiener filter for noise reduction and speech enhancement in hearing aids

IEEE Transactions on Audio, Speech, and Language Processing

Performance Analysis of Multichannel Wiener Filter-Based Noise Reduction in Hearing Aids Under Second Order Statistics Estimation Errors

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing

Multi-channel speech enhancement in a car environment using Wiener filtering and spectral subtraction

Principles of Random Signal Analysis and Low Noise Design

Power Spectral Density of Standard Random Processes—Part 1

Application of Wiener Filter Making Signals Orthogonal

Journal	Data powered by Typeset2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)
Publisher	Data powered by TypesetIEEE
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