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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 3140 of 52 papers

TitleStatusHype
A Universal Deep Room Acoustics Estimator0
Mean absorption estimation from room impulse responses using virtually supervised learning0
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant SpeechCode1
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments0
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
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment0
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation0
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