BibTex format

author = {Eaton, DJ and Gaubitch, ND and Moore, AH and Naylor, PA},
doi = {10.1109/TASLP.2016.2577502},
journal = {IEEE Transactions on Audio Speech and Language Processing},
pages = {1681--1693},
title = {Estimation of room acoustic parameters: the ACE challenge},
url = {},
volume = {24},
year = {2016}

RIS format (EndNote, RefMan)

AB - 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 isnot 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 corpusused 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.
AU - Eaton,DJ
AU - Gaubitch,ND
AU - Moore,AH
AU - Naylor,PA
DO - 10.1109/TASLP.2016.2577502
EP - 1693
PY - 2016///
SN - 2329-9290
SP - 1681
TI - Estimation of room acoustic parameters: the ACE challenge
T2 - IEEE Transactions on Audio Speech and Language Processing
UR -
UR -
VL - 24
ER -