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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Strathclyde

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Article title

EMD-based filtering (EMDF) of low-frequency noise for speech enhancement

Type

D - Journal article

DOI

10.1109/TASL.2011.2172428

Title of journal

IEEE Transactions on Audio, Speech and Language Processing

Article number

Volume number

Issue number

First page of article

1158

ISSN of journal

1558-7916

Year of publication

2012

URL

Number of additional authors

Additional information

This paper presents a rigorous description of a new intelligent Empirical Mode Decomposition (EMD) based filtering process designed for suppressing noise in non-linear environments. This was the first EMD tool that can distinguish between noise and signal at low frequencies. Since publication, the methods have been effectively used with an industry partner as the proposed signal conditioning component in a successful project [TSB, £770k, 2013-15] with the 'bionic' prosthesis company Touch BIONICS Ltd L [CTO, hugh.gill@touchbionics.com] for advanced pattern recognition technology for multi-articulating prosthesis.

Interdisciplinary

Cross-referral requested

Research group

A - Centre for Excellence in Signal and Image Processing (CeSIP)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract