Article

Identification of the sim-to-real gap in the speech directivity classification task using deep learning techniques

2025-11-07

Abstract excerpt

<title>Abstract</title> <p>Accurate modeling of speech directivity is essential for artificial auditory systems. However, deep learning models trained on simulated data often fail to generalize to real acoustic conditions, a limitation known as the Sim-to-Real gap. This study systematically identifies the simulation parameters that most strongly influence this degradation in a speech directivity classification ta...

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Literature Corpus work: 8dec60a0-d5c8-5082-9d96-ff7efdc0296a
DOI: 10.21203/rs.3.rs-7972040/v1

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