An improved adaptive gain equalizer for noise reduction with low speech distortion

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Markus Borgh, Magnus Berggren, Christian Schüldt, Fredric Lindström, Ingvar Claesson
Title: An improved adaptive gain equalizer for noise reduction with low speech distortion
Journal: EURASIP Journal on Audio, Speech, and Music Processing
Year: 2011
Volume: 7
ISSN: 1687-4714
Publisher: Springer
URI/DOI: 10.1186/1687-4722-2011-7
ISI number: 000299122500005
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Electrical Engineering (Sektionen för ingenjörsvetenskap - Avd. för elektroteknik)
School of Engineering S-371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:,,,,
Language: English
Abstract: In high-quality conferencing systems, it is desired to perform noise reduction with as limited speech distortion as possible. Previous work, based on time varying amplification controlled by signal-to-noise ratio estimation in different frequency subbands, has shown promising results in this regard but can suffer from problems in situations with intense continuous speech. Further, the amount of noise reduction cannot exceed a certain level in order to avoid artifacts. This paper establishes the problems and proposes several improvements. The improved algorithm is evaluated with several different noise characteristics, and the results show that the algorithm provides even less speech distortion, better performance in a multi-speaker environment and improved noise suppression when speech is absent compared with previous work.
Subject: Signal Processing\Speech Enhancement
Keywords: Speech enhancement, Noise reduction, Noise-level estimation
Note: Open Access article Article 7