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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 41–50 of 52 papers

TitleStatusHype
Building and Evaluation of a Real Room Impulse Response Dataset—0
Computing Optimal Location of Microphone for Improved Speech Recognition—0
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Dereverberation using joint estimation of dry speech signal and acoustic system—0
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses—0
Estimation of Source and Receiver Positions, Room Geometry and Reflection Coefficients From a Single Room Impulse Response—0
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments—0
Few-Shot Audio-Visual Learning of Environment Acoustics—0
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video—0
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