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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 1–25 of 52 papers

TitleStatusHype
FRA-RIR: Fast Random Approximation of the Image-source MethodCode2
FAST-RIR: Fast neural diffuse room impulse response generatorCode1
MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis MethodsCode1
Hearing Anything AnywhereCode1
BERP: A Blind Estimator of Room Parameters for Single-Channel Noisy Speech SignalsCode1
Attack on practical speaker verification system using universal adversarial perturbationsCode1
StoRIR: Stochastic Room Impulse Response Generation for Audio Data AugmentationCode1
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation ChainsCode1
Towards Improved Room Impulse Response Estimation for Speech RecognitionCode1
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR IdentificationCode1
gpuRIR: A python library for Room Impulse Response simulation with GPU accelerationCode1
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion PriorCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant SpeechCode1
AV-RIR: Audio-Visual Room Impulse Response EstimationCode1
Hearing Anywhere in Any EnvironmentCode1
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generationCode1
Dereverberation using joint estimation of dry speech signal and acoustic system—0
Blind estimation of room acoustic parameters from speech signals based on extended model of room impulse response—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment—0
A Universal Deep Room Acoustics Estimator—0
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video—0
Computing Optimal Location of Microphone for Improved Speech Recognition—0
Few-Shot Audio-Visual Learning of Environment Acoustics—0
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