A novel method for obtaining a better quality speech signal for cochlear Implants using kalman with drnl and ssb technique

TL;DR

This paper introduces a new speech processing technique for cochlear implants that combines Kalman filtering with DRNL and SSB encoding to improve speech quality and robustness.

Contribution

The paper presents a novel integrated approach using Kalman filter, DRNL, and SSB encoding for enhanced cochlear implant speech signals, outperforming existing methods.

Findings

Proposed method shows improved speech quality over existing techniques.

The integrated approach enhances robustness of cochlear implant speech signals.

Comparative results favor the new method in various scenarios.

Abstract

Cochlear implant devices are known to exist since a long time. The purpose of the present work is to develop a speech algorithm for obtaining robust speech. In this paper, the technique of cochlear implant is first introduced, followed by discussions of some of the existing techniques available for obtaining speech. The next section introduces a new technique for obtaining robust speech. The key feature of this technique lies in the use of the advantages of an integrated approach involving the use of an estimation technique such as a kalman filter with non linear filter bank strategy, using Dual Resonance Non Linear(DRNL) and Single Side Band(SSB) Encoding method. A comparative study of the proposed method with the existing method indicates that the proposed method performs well compared to the existing method.