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A squeeze-and-excitation and transformer-based cross-task model for environmental sound recognition
Environmental sound recognition (ESR) is an emerging research topic in audio pattern
recognition. Many tasks are presented to resort to computational models for ESR in real-life …
recognition. Many tasks are presented to resort to computational models for ESR in real-life …
How robust are audio embeddings for polyphonic sound event tagging?
Sound classification algorithms are challenged by the natural variability of everyday sounds,
particularly for large sound class taxonomies. In order to be applicable in real-life …
particularly for large sound class taxonomies. In order to be applicable in real-life …
Multimodal urban sound tagging with spatiotemporal context
Noise pollution significantly affects our daily life and urban development. Urban sound
tagging (UST) has attracted much attention recently, which aims to analyze and monitor …
tagging (UST) has attracted much attention recently, which aims to analyze and monitor …
A strongly-labelled polyphonic dataset of urban sounds with spatiotemporal context
This paper introduces SINGA: PURA, a strongly labelled polyphonic urban sound dataset
with spatiotemporal context. The data were collected via several recording units deployed …
with spatiotemporal context. The data were collected via several recording units deployed …
A squeeze-and-excitation and transformer based cross-task system for environmental sound recognition
Environmental sound recognition (ESR) is an emerging research topic in audio pattern
recognition. Many tasks are presented to resort to computational models for ESR in real-life …
recognition. Many tasks are presented to resort to computational models for ESR in real-life …