A binaural room impulse response database for the evaluation of dereverberation algorithms

Authors:
Marco Jeub;Magnus Schäfer;Peter Vary
Affiliations:
Institute of Communication Systems and Data Processing, RWTH Aachen University, Germany;Institute of Communication Systems and Data Processing, RWTH Aachen University, Germany;Institute of Communication Systems and Data Processing, RWTH Aachen University, Germany
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

Citing 1
Cited 5

Advances in Digital Speech Transmission

Advances in Digital Speech Transmission

Model-based dereverberation preserving binaural cues

IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Correlation-based and model-based blind single-channel late-reverberation suppression in noisy time-varying acoustical environments

IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
On the quality-assessment of reverberated speech

Speech Communication
Use of bimodal coherence to resolve the permutation problem in convolutive BSS

Signal Processing
An Improved Method for Late-Reverberant Suppression Based on Statistical Model

Speech Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a new database of binaural room impulse responses (BRIR), referred to as the Aachen Impulse Response (AIR) database. The main field of application of this database is the evaluation of speech enhancement algorithms dealing with room reverberation. The measurements with a dummy head took place in a low-reverberant studio booth, an office room. a meeting room and a lecture room. Due to the different dimensions and acoustic properties, it covers a wide range of situations where digital hearing aids or other hands-free devices can be used. Besides the description of the database, a motivation for using binaural instead of monaural measurements is given. Furthermore an example using a coherence-based dereverberation technique is provided to show the advantage of this database for algorithm evaluation. The AIR database is being made available online.