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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 26–50 of 52 papers

TitleStatusHype
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
A Universal Deep Room Acoustics Estimator—0
Mean absorption estimation from room impulse responses using virtually supervised learning—0
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant SpeechCode1
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments—0
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generationCode1
MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis MethodsCode1
Attack on practical speaker verification system using universal adversarial perturbationsCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment—0
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation—0
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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