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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 21–30 of 52 papers

TitleStatusHype
Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields—0
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems—0
Relative Acoustic Features for Distance Estimation in Smart-Homes—0
Replay Attacks Against Audio Deepfake Detection—0
RIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios—0
Room Geometry Estimation from Room Impulse Responses using Convolutional Neural Networks—0
Room impulse response prototyping using receiver distance estimations for high quality room equalisation algorithms—0
Small-Footprint Wake Up Word Recognition in Noisy Environments Employing Competing-Words-Based Feature—0
Speech Data Augmentation for Improving Phoneme Transcriptions of Aphasic Speech Using Wav2Vec 2.0 for the PSST Challenge—0
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge—0
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