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Related Experiment Video

Updated: Dec 22, 2025

A Method to Study Adaptation to Left-Right Reversed Audition

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

A robust denoising process for spatial room impulse responses with diffuse reverberation tails.

Pierre Massé¹, Thibaut Carpentier¹, Olivier Warusfel¹

¹Sciences et Technologies de la Musique et du Son (STMS) - Sorbonne Université, IRCAM, CNRS, 75004 Paris, France.

The Journal of the Acoustical Society of America

|May 4, 2020

Summary

This study introduces a robust denoising method for spatial room impulse responses (SRIRs) to eliminate noise artifacts. The technique synthesizes an incoherent reverberation tail, preserving spatial audio quality in 3D sound systems.

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Area of Science:

Acoustics
Signal Processing
Spatial Audio

Background:

Spatial room impulse responses (SRIRs) are crucial for 3D surround sound reproduction.
Measured SRIRs often contain noise floors and artifacts, degrading audio quality.
Existing methods struggle with the diffuse late reverberation tails common in SRIRs.

Purpose of the Study:

To develop a robust SRIR denoising procedure for signals with diffuse late reverberation tails.
To address the issue of perceptible "infinite reverberation" caused by noise floors in SRIRs.
To preserve the spatial coherence and frequency-dependent decay of reverberation tails.

Main Methods:

Modeling diffuse reverberation tails as a stochastic process.
Replacing the noise floor with a synthesized incoherent tail.
Performing tail re-synthesis in the spherical harmonic domain using independent Gaussian noise components.

Main Results:

The proposed method effectively removes noise while preserving the frequency-dependent decay of the reverberation tail.
Spatial coherence properties of the reverberation tail are maintained.
Successful application to real-world measured SRIRs demonstrates robustness.

Conclusions:

The developed SRIR denoising procedure is effective for signals with diffuse late reverberation.
Synthesizing an incoherent tail in the spherical harmonic domain is a viable strategy for noise reduction.
The method enhances the quality of spatial audio reproduction by mitigating noise artifacts.