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Room Impulse Response (RIR)
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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.
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Replay Attacks Against Audio Deepfake Detection
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training
Hearing Anywhere in Any Environment
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification
Room impulse response prototyping using receiver distance estimations for high quality room equalisation algorithms
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
Text-Queried Target Sound Event Localization
Hearing Anything Anywhere
BERP: A Blind Estimator of Room Parameters for Single-Channel Noisy Speech Signals
AV-RIR: Audio-Visual Room Impulse Response Estimation
RIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios
Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields
Bayesian inference and neural estimation of acoustic wave propagation
Blind identification of Ambisonic reduced room impulse response
Estimation of Source and Receiver Positions, Room Geometry and Reflection Coefficients From a Single Room Impulse Response
Blind estimation of room acoustic parameters from speech signals based on extended model of room impulse response
Relative Acoustic Features for Distance Estimation in Smart-Homes
Towards Improved Room Impulse Response Estimation for Speech Recognition
Blind Signal Dereverberation for Machine Speech Recognition
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
FRA-RIR: Fast Random Approximation of the Image-source Method
Few-Shot Audio-Visual Learning of Environment Acoustics
Computing Optimal Location of Microphone for Improved Speech Recognition
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video
FAST-RIR: Fast neural diffuse room impulse response generator
A Universal Deep Room Acoustics Estimator
Mean absorption estimation from room impulse responses using virtually supervised learning
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation
MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods
Attack on practical speaker verification system using universal adversarial perturbations
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing
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