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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 1–10 of 52 papers

TitleStatusHype
ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice DereverberationCode0
Replay Attacks Against Audio Deepfake Detection—0
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses—0
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion PriorCode1
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Hearing Anywhere in Any EnvironmentCode1
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR IdentificationCode1
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
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