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New bridging eco-acoustic indices inspired by deep neural networks for fine-grained bird vocalization recognition across diurnal cycles. [PDF]
PLoS ONERevealing difference in bird vocalization changes from the perspectives of song recognition and acoustic indices has become a hot topic and challenge in recent ecological landscape research.
Lianglian Gu +6 more
doaj +2 more sources
A multi-stage ensemble framework for classifying pig vocalizations under noisy animal farm environments [PDF]
Scientific ReportsPig vocalizations are important indicators of health and emotional state, offering significant potential for advancing precision livestock farming. Accurate recognition of these vocalization patterns requires robust noise filtering and effective feature ...
Seyeon Chung +4 more
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Influence of age, time of day, and environmental changes on vocalization patterns in broiler chickens [PDF]
Poultry ScienceSound analysis of animal vocalizations may provide valuable insights into their emotional state and behavioral responses to environmental stimuli. In broiler chickens, four primary vocalization types—distress calls (DC), short peeps (SP), warbles (W ...
Patricia Soster de Carvalho +11 more
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Communications Biology, 2023 For robust vocalization perception, the auditory system must generalize over variability in vocalization production as well as variability arising from the listening environment (e.g., noise and reverberation). We previously demonstrated using guinea pig
Satyabrata Parida +2 more
doaj +1 more source
An Early-Stage Decision-Analytic Health Economic Model of Above Cuff Vocalization: What Do We Know and What Do We Need to Resolve? [PDF]
Crit Care ExplorMills CS +5 more
europepmc +2 more sources
Frontiers in Physiology, 2022 Songbirds, such as zebra finches, spontaneously produce many song renditions for vocal practice even in the absence of apparent recipients throughout their lives.
Yunbok Kim, Satoshi Kojima
doaj +1 more source
Dynamic vocal analysis: vocal functionality evaluation
CoDAS, 2023 ABSTRACT Dynamic vocal analysis (DVA) is an auditory-perceptual and acoustic vocal assessment strategy that provides estimates on the biomechanics and aerodynamics of vocal production by performing frequency and intensity variation tasks and using voice acoustic spectrography.
Mara Behlau +2 more
openaire +2 more sources
A Framework for Bioacoustic Vocalization Analysis Using Hidden Markov Models [PDF]
, 2009 Using Hidden Markov Models (HMMs) as a recognition framework for automatic classification of animal vocalizations has a number of benefits, including the ability to handle duration variability through nonlinear time alignment, the ability to incorporate ...
Clemins, Patrick J. +6 more
core +4 more sources
‘I love you’: the first phrase detected from dreams [PDF]
Sleep Science, 2022 Objective: Many people have dreams nightly and some maintain consciousness during dreams. Such dreams are referred to as lucid dreams (LD). During dreams, our speech correlates with facial muscle activity, which is hard to decode, but LD could solve this
Michael Raduga
doaj +1 more source
Revista Peruana de Biología, 2013 In Argentina not antecedents regarding to lizards vocalization studies exist. This work to seeks to highlight in two leiosaurid species (Leiosaurus catamarcensis and Pristidactylus scapulatus) the vocalization characteristics in order to evaluate ...
Alejandro Laspiur +2 more
doaj +1 more source