Reachable but Not Recognized: Cultural Coverage Gaps in General-Purpose Audio Models for Live Religious Radio
DOI:
https://doi.org/10.65408/cird795397Keywords:
Religious Soundscape, Intangible Heritage, Live Web Radio, Audio Machine LearningAbstract
Live religious radio carries chant, cantillation, preaching, and ritual silence, yet remains largely absent from heritage documentation. This paper establishes live-streamed religious radio as ephemeral intangible heritage and evaluates whether audio models can support its preservation. Over ten days in August 2026, 63 live streams across ten traditions, 21 languages, and 21 countries were monitored from residential and cloud-based locations. Eight sampling rounds produced 4,570 samples from 59 stations. A failure taxonomy distinguishes stream reachability from usable capture: one station appeared live in 99.6% of rounds but never yielded a usable recording because its catalogue entry pointed to a playlist rather than a stream. Model analysis reveals recognition gaps at two levels. Ontologically, 40.3% of Islamic samples were misclassified as ‘Mantra’, the non-Christian devotional vocal category. Representationally, two domain vocabularies remained below a corpus-composition baseline and clustered by acoustic form. These findings show that automated capture can produce preservation gaps and culturally distorted metadata. The paper contributes a reproducible protocol separating stream discovery, capture validation, and recognition quality, enabling institutions to audit preservation and classification.
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