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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 31–40 of 52 papers

TitleStatusHype
Relative Acoustic Features for Distance Estimation in Smart-Homes—0
Blind Signal Dereverberation for Machine Speech Recognition—0
Few-Shot Audio-Visual Learning of Environment Acoustics—0
Speech Data Augmentation for Improving Phoneme Transcriptions of Aphasic Speech Using Wav2Vec 2.0 for the PSST Challenge—0
Computing Optimal Location of Microphone for Improved Speech Recognition—0
Impact of Microphone position Measurement Error on Multi Channel Distant Speech Recognition & Intelligibility—0
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video—0
A Universal Deep Room Acoustics Estimator—0
Mean absorption estimation from room impulse responses using virtually supervised learning—0
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments—0
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