Audio self-supervised learning: A survey
Similar to humans' cognitive ability to generalize knowledge and skills, self-supervised
learning (SSL) targets discovering general representations from large-scale data. This …
learning (SSL) targets discovering general representations from large-scale data. This …
The internet of sounds: Convergent trends, insights, and future directions
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …
to convergent research trends that bring together the field of sound and music Computing …
A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring
Global change is predicted to induce shifts in anuran acoustic behavior, which can be
studied through passive acoustic monitoring (PAM). Understanding changes in calling …
studied through passive acoustic monitoring (PAM). Understanding changes in calling …
CENSE Project: general overview
Résumé The CENSE project, funded by the French Research National Agency from 2017 to
2021, aimed at proposing a new methodology for the production of more realistic noise …
2021, aimed at proposing a new methodology for the production of more realistic noise …
Introduction to the special issue on machine learning in acoustics
The use of machine learning (ML) in acoustics has received much attention in the last
decade. ML is unique in that it can be applied to all areas of acoustics. ML has …
decade. ML is unique in that it can be applied to all areas of acoustics. ML has …
[HTML][HTML] Multidimensional analyses of the noise impacts of COVID-19 lockdown
Joint Research Unit in Environmental Acoustics/Unité Mixte de Recherche en Acoustique
Environnementale, Univ Gustave Eiffel, Institut français des sciences et technologies des …
Environnementale, Univ Gustave Eiffel, Institut français des sciences et technologies des …
Multilabel acoustic event classification using real-world urban data and physical redundancy of sensors
Many people living in urban environments nowadays are overexposed to noise, which
results in adverse effects on their health. Thus, urban sound monitoring has emerged as a …
results in adverse effects on their health. Thus, urban sound monitoring has emerged as a …
[PDF][PDF] Synthetic training set generation using text-to-audio models for environmental sound classification
F Ronchini, L Comanducci… - arXiv preprint arXiv …, 2024 - dcase.community
In recent years, text-to-audio models have revolutionized the field of automatic audio
generation. This paper investigates their application in generating synthetic datasets for …
generation. This paper investigates their application in generating synthetic datasets for …
AnuraSet: A dataset for benchmarking neotropical anuran calls identification in passive acoustic monitoring
Global change is predicted to induce shifts in anuran acoustic behavior, which can be
studied through passive acoustic monitoring (PAM). Understanding changes in calling …
studied through passive acoustic monitoring (PAM). Understanding changes in calling …
Spectral trancoder: using pretrained urban sound classifiers on undersampled spectral representations
Slow or fast third-octave bands representations (with a frame resp. every 1-s and 125-ms)
have been a de facto standard for urban acoustics, used for example in long-term monitoring …
have been a de facto standard for urban acoustics, used for example in long-term monitoring …