ArticleScientific reports2015
VoICE: A semi-automated pipeline for standardizing vocal analysis across models.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 66 citations in OpenAlex.
- Characterizing maternal isolation-induced ultrasonic vocalizations in a gene-environment interaction rat model for autism.Genes, brain, and behavior · 2023Article
- Machine learning and statistical classification of birdsong link vocal acoustic features with phylogeny.Scientific reports · 2023Article
- Recent Advances at the Interface of Neuroscience and Artificial Neural Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Review
- Beyond the three-chamber test: toward a multimodal and objective assessment of social behavior in rodents.Molecular autism · 2022Review
- TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism.BMC biology · 2022Article
- Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap).PLoS computational biology · 2022Article
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- Inhibition of miR-128 Enhances Vocal Sequence Organization in Juvenile Songbirds.Frontiers in behavioral neuroscience · 2022Article
- A researcher's guide to the comparative assessment of vocal production learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- Learning in the time of COVID: insights from the zebra finch - a social vocal-learner.Current opinion in neurobiology · 2021Review
- Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires.eLife · 2021Article
- Analysis of ultrasonic vocalizations from mice using computer vision and machine learning.eLife · 2021Article
- Wireless battery free fully implantable multimodal recording and neuromodulation tools for songbirds.Nature communications · 2021Article
- HybridMouse: A Hybrid Convolutional-Recurrent Neural Network-Based Model for Identification of Mouse Ultrasonic Vocalizations.Frontiers in behavioral neuroscience · 2021Article
- Temporal structure of mouse courtship vocalizations facilitates syllable labeling.Communications biology · 2020Article
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- Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework.Scientific reports · 2019Article
- DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The study of vocal communication in animal models provides key insight to the neurogenetic basis for speech and communication disorders. Current methods for vocal analysis suffer from a lack of standardization, creating ambiguity in cross-laboratory and cross-species comparisons. Here, we present VoICE (Vocal Inventory Clustering Engine), an approach to grouping vocal elements by creating a high dimensionality dataset through scoring spectral similarity between all vocalizations within a recording session. This dataset is then subjected to hierarchical clustering, generating a dendrogram that is pruned into meaningful vocalization "types" by an automated algorithm. When applied to birdsong, a key model for vocal learning, VoICE captures the known deterioration in acoustic properties that follows deafening, including altered sequencing. In a mammalian neurodevelopmental model, we uncover a reduced vocal repertoire of mice lacking the autism susceptibility gene, Cntnap2. VoICE will be useful to the scientific community as it can standardize vocalization analyses across species and laboratories.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.