[PDF][PDF] Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs
Automated signal recognition software is increasingly used to extract species detection data
from acoustic recordings collected using autonomous recording units (ARUs), but there is …
from acoustic recordings collected using autonomous recording units (ARUs), but there is …
Toward a computational neuroethology of vocal communication: from bioacoustics to neurophysiology, emerging tools and future directions
T Sainburg, TQ Gentner - Frontiers in Behavioral Neuroscience, 2021 - frontiersin.org
Recently developed methods in computational neuroethology have enabled increasingly
detailed and comprehensive quantification of animal movements and behavioral kinematics …
detailed and comprehensive quantification of animal movements and behavioral kinematics …
Automated annotation of birdsong with a neural network that segments spectrograms
Y Cohen, DA Nicholson, A Sanchioni, EK Mallaber… - Elife, 2022 - elifesciences.org
Songbirds provide a powerful model system for studying sensory-motor learning. However,
many analyses of birdsong require time-consuming, manual annotation of its elements …
many analyses of birdsong require time-consuming, manual annotation of its elements …
Parallels in the sequential organization of birdsong and human speech
Human speech possesses a rich hierarchical structure that allows for meaning to be altered
by words spaced far apart in time. Conversely, the sequential structure of nonhuman …
by words spaced far apart in time. Conversely, the sequential structure of nonhuman …
Recent advances at the interface of neuroscience and artificial neural networks
Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …
networks (ANNs) have exploited biological properties to solve complex problems. However …
Classification threshold and training data affect the quality and utility of focal species data processed with automated audio-recognition software
Automated recognition is increasingly used to extract information about species
vocalizations from audio recordings. During processing, recognizers calculate the …
vocalizations from audio recordings. During processing, recognizers calculate the …
Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks
ABSTRACT A variety of automated classification approaches have been developed to
extract species detection information from large bioacoustic datasets. Convolutional neural …
extract species detection information from large bioacoustic datasets. Convolutional neural …
Songbirds can learn flexible contextual control over syllable sequencing
The flexible control of sequential behavior is a fundamental aspect of speech, enabling
endless reordering of a limited set of learned vocal elements (syllables or words). Songbirds …
endless reordering of a limited set of learned vocal elements (syllables or words). Songbirds …
The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics
Vocalizations in animals, particularly birds, are critically important behaviors that influence
their reproductive fitness. While recordings of bioacoustic data have been captured and …
their reproductive fitness. While recordings of bioacoustic data have been captured and …
Taking data science into the forest
J Longdon, J Gabrys… - Interdisciplinary Science …, 2024 - journals.sagepub.com
We contribute to the Science in the Forest, Science in the Past series by investigating the
specific practices of “data science”, a set of contemporary methods associated with large …
specific practices of “data science”, a set of contemporary methods associated with large …