Near end listening enhancement is an effective approach for speech intelligibility improvement in noisy conditions that is applied mainly for telecommunications. However potential application field of the concept of near end listening enhancement is much wider and can be extended for listening of any audio content (including music and other sounds) in quiet and noisy conditions. This paper proposes an algorithm for near end listening enhancement designed for processing both speech and music that, considering subjective listening tests, significantly improves the listening experience. The algorithm is based on subband non-linear amplification of the audio signal in accordance with noise spectral characteristics and personal hearing thresholds of the listener. The algorithm is experimentally implemented as an application for smartphones.

Authors: Azarov, Elias; Vashkevich, Maxim; Herasimovich, Vadzim; Petrovsky, Alexander
Affiliation: Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus
AES Convention: 138 (May 2015) Paper Number: 9265
Publication Date: May 6, 2015 Import into BibTeX
Subject: Audio Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=17689

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 138Papers)   /conv/138/9265.pdf

Start a discussion about this paper!