SDSep 30, 2012

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

arXiv:1210.0171v12 citations
Originality Incremental advance
AI Analysis

This work addresses speech quality enhancement for cochlear implant users, but it appears incremental as it builds on existing techniques without claiming broad breakthroughs.

The paper tackled the problem of improving speech signal quality for cochlear implants by proposing a new technique that integrates a Kalman filter with DRNL and SSB methods, and it reported that the proposed method performs well compared to existing methods.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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