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researcher

Anton Ratnarajah

University of Maryland, College Park

16 papers hereh-index 9410 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author9
  • middle author5

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.SD9
  • eess.AS4
  • cs.CV2
  • cs.CR1
affiliations
  • University of Maryland, College Park
HomepageORCID 0000-0003-2928-5823
same name
  • Anton Ratnarajah — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing 2023Show all

4 papers · 1 filter

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.CV2023

AdVerb: Visually Guided Audio Dereverberation

Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta +3

We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio. Although audio-only dereverber…

eess.AS2023★ 1 cited

Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes

Anton Ratnarajah, Dinesh Manocha

We present an end-to-end binaural audio rendering approach (Listen2Scene) for virtual reality (VR) and augmented reality (AR) applications. We propose a novel neural-network-based…

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