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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 11–20 of 52 papers

TitleStatusHype
BERP: A Blind Estimator of Room Parameters for Single-Channel Noisy Speech SignalsCode1
Towards Improved Room Impulse Response Estimation for Speech RecognitionCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR IdentificationCode1
StoRIR: Stochastic Room Impulse Response Generation for Audio Data AugmentationCode1
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant SpeechCode1
gpuRIR: A python library for Room Impulse Response simulation with GPU accelerationCode1
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
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