Publications – Details
Time Domain Approach for Listening Enhancement in Noisy Environments
- Authors:
- Markus Niermann, Christian Thierfeld, Peter Jax, and Peter Vary
- Book Title:
- ITG-Fachtagung Sprachkommunikation
- Event Date:
- 5.-7.10.2016
- Publisher:
- VDE Verlag GmbH
- Date:
- Oct. 2016
- Pages:
- 282–286
- ISBN:
- 978-3-80074-275-2
- Language:
- English
Abstract
Algorithms for Near-end Listening Enhancement (NELE) improve the intelligibility of speech, played back in a noisy environment, by adaptively filtering the speech signal and taking into account the current background noise characteristics. This contribution proposes a time-domain approach for NELE which is based on linear prediction (LP). LP coefficients of speech and noise are estimated by a normalized least mean squares algorithm and are used to adapt time-domain filters which enhance the speech signal. The computational cost of this approach is comparable to reference algorithms in the frequency domain, but its latency is extremely low. Simulations show that significant improvements in terms of the Speech Intelligibility Index can be achieved.
Download of Publication
Copyright Notice
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
The following notice applies to all IEEE publications:
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.