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- Title
VoICE: A semi-automated pipeline for standardizing vocal analysis across models.
- Authors
Burkett, Zachary D.; White, Stephanie A.; Day, Nancy F.; Peñagarikano, Olga; Geschwind, Daniel H.
- 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.
- Subjects
ANIMAL sound production; SPEECH disorders; COMMUNICATIVE disorders; AUTISM; PHYSIOLOGY
- Publication
Scientific Reports, 2015, p10237
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/srep10237