Reverberation-Time Prediction Method for Room Impulse Responses Simulated with the Image-Source Model

The image-source method has become a ubiquitous tool in many fields of acoustics and signal processing. A technique was recently proposed to predict the energy decay (energy-time curve) in room impulse responses simulated using the image-source model. The present paper demonstrates how this technique can be efficiently used to determine the enclosure's absorption coefficients in order to achieve a desired reverberation level, even with a non-uniform distribution of the sound absorption in the room. As shown in this work, classical expressions for the prediction of an enclosure's reverberation time, such as Sabine and Eyring's formulae, do not provide accurate results when used in conjunction with the image method. The proposed approach hence ensures that the image-source model effectively generates impulse responses with a proper reverberation time, which is of particular importance, for instance, for the purpose of assessing the performance of audio signal processing algorithms operating in reverberant conditions.

[1]  Parham Aarabi,et al.  Phase-based dual-microphone robust speech enhancement , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  Marc Moonen,et al.  Robust Adaptive Time Delay Estimation for Speaker Localization in Noisy and Reverberant Acoustic Environments , 2003, EURASIP J. Adv. Signal Process..

[3]  Jont B. Allen,et al.  Image method for efficiently simulating small‐room acoustics , 1976 .

[4]  Michael S. Brandstein,et al.  A robust method for speech signal time-delay estimation in reverberant rooms , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  E. Lehmann,et al.  Prediction of energy decay in room impulse responses simulated with an image-source model. , 2008, The Journal of the Acoustical Society of America.

[6]  P. Peterson Simulating the response of multiple microphones to a single acoustic source in a reverberant room. , 1986, The Journal of the Acoustical Society of America.

[7]  Rodney A. Kennedy,et al.  Equalization in an acoustic reverberant environment: robustness results , 2000, IEEE Trans. Speech Audio Process..

[8]  Dennis R. Morgan,et al.  A multiresolution approach to blind separation of speech signals in a reverberant environment , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[9]  Bozena Kostek,et al.  Prediction of the reverberation time in rectangular rooms with non-uniformlydistributed sound absorption , 2001 .

[10]  Eric A. Lehmann,et al.  Particle Filter with Integrated Voice Activity Detection for Acoustic Source Tracking , 2007, EURASIP J. Adv. Signal Process..