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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
Towards Improved Room Impulse Response Estimation for Speech RecognitionCode1
Blind Signal Dereverberation for Machine Speech Recognition—0
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation ChainsCode1
FRA-RIR: Fast Random Approximation of the Image-source MethodCode2
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
FAST-RIR: Fast neural diffuse room impulse response generatorCode1
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