ArticlePLoS computational biology2020
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.
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Who cites it
82 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring.Sensors (Basel, Switzerland) · 2025Pooled it
- An Automated Pipeline for Few-Shot Bird Call Classification, a Case Study With the Tooth-Billed Pigeon.Ecology and evolution · 2026Article
- Real-Time Segmentation and Classification of Birdsong Syllables for Learning Experiments.eNeuro · 2026Article
- Two-stage acoustic detection and fine-grained classification of laying-hen vocalizations for heat-stress monitoring.Poultry science · 2026Article
- AI-based monitoring of broiler vocal repertoire dynamics reveals robust developmental and diurnal patterns but limited disease sensitivity.Poultry science · 2026Article
- Investigating the structure of the greylag goose vocal repertoire: what can unsupervised methods tell us?Scientific reports · 2026Article
- A machine learning-derived speech index as a biomarker for Huntington's disease severity.Journal of neurology · 2026Article
- Correlating ultrasonic communication with behavior in a small-scale rat colony living in a naturalistic habitat.iScience · 2026Article
- Analysis of individual identification and age-class classification of wild female macaque vocalizations without pitch- and formant-based acoustic parameter measurements.Primates; journal of primatology · 2026Article
- TweetyBERT: Automated parsing of birdsong through self-supervised machine learning.Patterns (New York, N.Y.) · 2026Article
- Dynamic Compression Flows for Neuroscience Data.bioRxiv : the preprint server for biology · 2026Article
- Astrocytes and neurons exhibit partially shared but distinct composite receptive fields for natural stimuli.Journal of neurophysiology · 2026Article
- Smartphone self-testing of hand and speech motor functions: a study of reliability and usability in older adults.GeroScience · 2026Article
- Challenges and new opportunities in deciphering the meaning of corvid call sequences.Animal cognition · 2025Review
- Article
- Identification and characterization of clusters of potentially new vocalizations in broiler chickens using advanced acoustic analysis.Poultry science · 2025Article
- Roar Data: Redefining a Lion's Roar Using Machine Learning.Ecology and evolution · 2025Article
- Capturing vocal communication in a free-living corvid: high-resolution data from low-impact miniaturized tags.Animal cognition · 2025Article
- Domain general noise reduction for time series signals with Noisereduce.Scientific reports · 2025Article
- Hidden in plain sound: the scientific potential of house mouse squeaks.Biology letters · 2025Review
22 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
Animals produce vocalizations that range in complexity from a single repeated call to hundreds of unique vocal elements patterned in sequences unfolding over hours. Characterizing complex vocalizations can require considerable effort and a deep intuition about each species' vocal behavior. Even with a great deal of experience, human characterizations of animal communication can be affected by human perceptual biases. We present a set of computational methods for projecting animal vocalizations into low dimensional latent representational spaces that are directly learned from the spectrograms of vocal signals. We apply these methods to diverse datasets from over 20 species, including humans, bats, songbirds, mice, cetaceans, and nonhuman primates. Latent projections uncover complex features of data in visually intuitive and quantifiable ways, enabling high-powered comparative analyses of vocal acoustics. We introduce methods for analyzing vocalizations as both discrete sequences and as continuous latent variables. Each method can be used to disentangle complex spectro-temporal structure and observe long-timescale organization in communication.
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