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Estimation of room acoustic parameters: the ACE challenge

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Title: Estimation of room acoustic parameters: the ACE challenge
Author(s): Eaton, DJ
Gaubitch, ND
Moore, AH
Naylor, PA
Item Type: Journal Article
Abstract: Reverberation Time (T60) and Direct-to-Reverberant Ratio (DRR) are important parameters which together can characterize sound captured by microphones in non-anechoic rooms. These parameters are important in speech processing applications such as speech recognition and dereverberation. The values of T60 and DRR can be estimated directly from the Acoustic Impulse Response (AIR) of the room. In practice, the AIR is not normally available, in which case these parameters must be estimated blindly from the observed speech in the microphone signal. The Acoustic Characterization of Environments (ACE) Challenge aimed to determine the state-of-the-art in blind acoustic parameter estimation and also to stimulate research in this area. A summary of the ACE Challenge, and the corpus used in the challenge is presented together with an analysis of the results. Existing algorithms were submitted alongside novel contributions, the comparative results for which are presented in this paper. The challenge showed that T60 estimation is a mature field where analytical approaches dominate whilst DRR estimation is a less mature field where machine learning approaches are currently more successful.
Publication Date: 7-Jun-2016
Date of Acceptance: 27-May-2016
URI: http://hdl.handle.net/10044/1/33384
DOI: http://dx.doi.org/10.1109/TASLP.2016.2577502
ISSN: 2329-9290
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1681
End Page: 1693
Journal / Book Title: IEEE Transactions on Audio Speech and Language Processing
Volume: 24
Issue: 10
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: 609465
n/a
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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