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Acoustic Scene Classification: Classifying environments from the sounds they produce
TLDR
An account of the state of the art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce, and a range of different algorithms submitted for a data challenge to provide a general and fair benchmark for ASC techniques.
Detection and classification of acoustic scenes and events: An IEEE AASP challenge
TLDR
An overview of systems submitted to the public evaluation challenge on acoustic scene classification and detection of sound events within a scene as well as a detailed evaluation of the results achieved by those systems are provided.
Bird detection in audio: A survey and a challenge
TLDR
New datasets and an IEEE research challenge are introduced to make possible the development of fully automatic algorithms for bird sound detection, and identify a widespread need for tuning-free and species-agnostic approaches.
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
TLDR
General‐purpose acoustic bird detection can achieve very high retrieval rates in remote monitoring data with no manual recalibration, and no pre‐training of the detector for the target species or the acoustic conditions in the target environment.
Detection and Classification of Acoustic Scenes and Events
TLDR
The state of the art in automatically classifying audio scenes, and automatically detecting and classifyingaudio events is reported on.
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
TLDR
This work introduces a technique for feature learning from large volumes of bird sound recordings, inspired by techniques that have proven useful in other domains, and demonstrates that unsupervised feature learning provides a substantial boost over MFCCs and Mel spectra without adding computational complexity after the model has been trained.
The risk of teen mothers having low birth weight babies: implications of recent medical research for school health personnel.
TLDR
This article reviews recent medical research on the relationship between young maternal age and the incidence of low birth weight infants and suggests that school health personnel need to link their health promotion efforts to those of other community organizations serving adolescents and their families.
A database and challenge for acoustic scene classification and event detection
TLDR
This paper introduces a newly-launched public evaluation challenge dealing with two closely related tasks of the field: acoustic scene classification and event detection.
Fast Multidimensional Entropy Estimation by $k$-d Partitioning
TLDR
A nonparametric estimator for the differential entropy of a multidimensional distribution, given a limited set of data points, by a recursive rectilinear partitioning, which is several orders of magnitude faster than other estimators.
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