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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
Towards Robust Speech-to-Text Adversarial Attack—0
Small-Footprint Wake Up Word Recognition in Noisy Environments Employing Competing-Words-Based Feature—0
Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks—0
StoRIR: Stochastic Room Impulse Response Generation for Audio Data AugmentationCode1
Dereverberation using joint estimation of dry speech signal and acoustic system—0
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems—0
An Image Source Method Framework for Arbitrary Reflecting Boundaries—0
Building and Evaluation of a Real Room Impulse Response Dataset—0
Room Geometry Estimation from Room Impulse Responses using Convolutional Neural Networks—0
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge—0
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