Search Results for author:
Found 7 papers, 2 papers with code
AV-RIR: Audio-Visual Room Impulse Response Estimation
We propose AV-RIR, a novel multi-modal multi-task learning approach to accurately estimate the RIR from a given reverberant speech signal and the visual cues of its corresponding environment.
AdVerb: Visually Guided Audio Dereverberation
We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio.
Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes
We propose a novel neural-network-based binaural sound propagation method to generate acoustic effects for indoor 3D models of real environments.
Towards Improved Room Impulse Response Estimation for Speech Recognition
We propose a novel approach for blind room impulse response (RIR) estimation systems in the context of a downstream application scenario, far-field automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes
We show that the acoustic metrics of the IRs predicted from our MESH2IR match the ground truth with less than 10% error.
FAST-RIR: Fast neural diffuse room impulse response generator
We present a neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Improving Reverberant Speech Separation with Multi-stage Training and Curriculum Learning
We present a novel approach that improves the performance of reverberant speech separation.
