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20202026
most citedMESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes

34 citations · 67 across the 15 of their papers we have counts for

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9 papers · 1 filter

cs.SD2024

Efficient learning-based sound propagation for virtual and real-world audio processing applications

Anton Jeran Ratnarajah

Sound propagation is the process by which sound energy travels through a medium, such as air, to the surrounding environment as sound waves. The room impulse response (RIR) describ…

cs.SD2023★ 1 cited

AV-RIR: Audio-Visual Room Impulse Response Estimation

Anton Ratnarajah, Sreyan Ghosh, Sonal Kumar +2

Accurate estimation of Room Impulse Response (RIR), which captures an environment's acoustic properties, is important for speech processing and AR/VR applications. We propose AV-RI…

cs.SD2023

BANC: Towards Efficient Binaural Audio Neural Codec for Overlapping Speech

Anton Ratnarajah, Shi-Xiong Zhang, Dong Yu

We introduce BANC, a neural binaural audio codec designed for efficient speech compression in single and two-speaker scenarios while preserving the spatial location information of…

cs.SD2022

Towards Improved Room Impulse Response Estimation for Speech Recognition

Anton Ratnarajah, Ishwarya Ananthabhotla, Vamsi Krishna Ithapu +3

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 (AS…

cs.SD2022★ 34 cited

MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes

Anton Ratnarajah, Zhenyu Tang, Rohith Chandrashekar Aralikatti +1

We propose a mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh. The IRs are used to create a high-quali…

cs.SD2022★ 22 cited

GWA: A Large High-Quality Acoustic Dataset for Audio Processing

Zhenyu Tang, Rohith Aralikatti, Anton Ratnarajah +1

We present the Geometric-Wave Acoustic (GWA) dataset, a large-scale audio dataset of about 2 million synthetic room impulse responses (IRs) and their corresponding detailed geometr…

cs.SD2021★ 3 cited

FAST-RIR: Fast neural diffuse room impulse response generator

Anton Ratnarajah, Shi-Xiong Zhang, Meng Yu +3

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. Our FAST-RI…

cs.SD2021★ 1 cited

TS-RIR: Translated synthetic room impulse responses for speech augmentation

Anton Ratnarajah, Zhenyu Tang, Dinesh Manocha

We present a method for improving the quality of synthetic room impulse responses for far-field speech recognition. We bridge the gap between the fidelity of synthetic room impulse…

cs.SD2020

IR-GAN: Room Impulse Response Generator for Far-field Speech Recognition

Anton Ratnarajah, Zhenyu Tang, Dinesh Manocha

We present a Generative Adversarial Network (GAN) based room impulse response generator (IR-GAN) for generating realistic synthetic room impulse responses (RIRs). IR-GAN extracts a…