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Room Impulse Response (RIR)

Room Impulse Response (RIR) is an audio signal processing task that involves capturing and analyzing the acoustic characteristics of a room or an environment. The goal is to measure and model the way sound waves interact with the space, including reflections, reverberation, and echoes.

Papers

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Showing 21–30 of 52 papers

TitleStatusHype
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Room impulse response prototyping using receiver distance estimations for high quality room equalisation algorithms—0
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models—0
Text-Queried Target Sound Event Localization—0
RIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios—0
Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields—0
Bayesian inference and neural estimation of acoustic wave propagation—0
Blind identification of Ambisonic reduced room impulse response—0
Estimation of Source and Receiver Positions, Room Geometry and Reflection Coefficients From a Single Room Impulse Response—0
Blind estimation of room acoustic parameters from speech signals based on extended model of room impulse response—0
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