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Audio benchmarks are built around short, pre-segmented clips, limiting model design to brief inputs or fixed vocabularies. To close this gap, we introduce Logbook, a benchmark for hour-scale audio understanding, with recordings ranging from ten minutes to six days. Given a continuous audio recording and an event label...
This paper presents a scalable method that measures consonant contribution using acoustic masking, and relates MMR to two linguistic factors previously reported to correlate with consonant contribution, namely phoneme frequency and functional load.
This work proposes a closed-form ridge residualization of S3M features against external VoxLingua107 language embeddings, fitted using only healthy-control speech, which consistently improves cross-lingual PD-detection performance while correcting the high-specificity/low-sensitivity failure.
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