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Naturalistic audio-visual volumetric sequences dataset of sounding actions for six degree-of-freedom interaction

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arxiv 2105.00641 v1 pith:HIVE75J2 submitted 2021-05-03 cs.MM cs.SDeess.AS

Hanne Stenzel , Davide Berghi , Marco Volino , Philip J.B. Jackson This is my paper
classification cs.MMcs.SDeess.AS
keywords volumetricaudioaudio-visualdatasetnaturalisticsequencestestvideo
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As audio-visual systems increasingly bring immersive and interactive capabilities into our work and leisure activities, so the need for naturalistic test material grows. New volumetric datasets have captured high-quality 3D video, but accompanying audio is often neglected, making it hard to test an integrated bimodal experience. Designed to cover diverse sound types and features, the presented volumetric dataset was constructed from audio and video studio recordings of scenes to yield forty short action sequences. Potential uses in technical and scientific tests are discussed.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization

    cs.LG 2025-06 reject novelty 4.0 of 10

    Wavelet-based positional encodings are claimed to improve how transformers extrapolate to longer sequences, with a toy experiment supporting the claim but with weak theory.

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