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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

Showing 1120 of 52 papers

TitleStatusHype
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant SpeechCode1
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generationCode1
MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis MethodsCode1
Attack on practical speaker verification system using universal adversarial perturbationsCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
StoRIR: Stochastic Room Impulse Response Generation for Audio Data AugmentationCode1
gpuRIR: A python library for Room Impulse Response simulation with GPU accelerationCode1
ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice DereverberationCode0
Replay Attacks Against Audio Deepfake Detection0
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses0
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