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Found 5 papers, 2 papers with code
AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance
(4) Generalization tests show that the proposed model's ARP in the presence of model-unknown sound sources is consistent with expert expectations and can explain previous findings from the literature on sound-scape augmentation.
MirrorCalib: Utilizing Human Pose Information for Mirror-based Virtual Camera Calibration
To address this issue, prior knowledge of a human body and 2D joint locations are utilized to estimate the camera extrinsic parameters when a person is in front of a mirror.
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Sound events in daily life carry rich information about the objective world.
Soundscape attributes in Spanish: A comparison with the English version of the protocol proposed in Method A of the ISO/TS 12913–2
In soundscape studies there is a need to validate the ISO 12913 framework and questionnaire protocols in non-English speaking regions, which is being addressed via an international translation effort carried out within the Soundscape Attributes Translation Project (SATP).
Translation and cross-cultural adaptation methodology for soundscape attributes – A study with independent translation groups from English to Greek
The most important findings of this research are: the results of the bicultural translation group were closer to the PCA results of the English participants for every attribute, translation of bilingual groups may not be always sufficient, translation errors may be misinterpreted for cross-cultural differences without proper application of a translation methodology and the process of back translation can be effective, especially in cases where there are not corresponding words in the target language.
