ArticleAnimal cognition2016
The vocal repertoire of the domesticated zebra finch: a data-driven approach to decipher the information-bearing acoustic features of communication signals.
Article in Animal cognition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed.
- Divergent processing strategies for auditory sequence recognition in humans and zebra finches (Taeniopygia guttata).Communications biology · 2026Article
- Investigating the structure of the greylag goose vocal repertoire: what can unsupervised methods tell us?Scientific reports · 2026Article
- Prenatal acoustic communication triggers adaptive vascular programming in the developing avian brain.The Journal of experimental biology · 2026Article
- Re-examining hidden fitness: Female preferences for long-path songs in zebra finches.PloS one · 2026Article
- Challenges and new opportunities in deciphering the meaning of corvid call sequences.Animal cognition · 2025Review
- Roar Data: Redefining a Lion's Roar Using Machine Learning.Ecology and evolution · 2025Article
- BattyCoda: A novel open-source software for bat call annotation and classification.Ecological informatics · 2025Article
- The zebra finch auditory cortex reconstructs occluded syllables in conspecific song.Nature communications · 2025Article
- Categorical and semantic perception of the meaning of call types in zebra finches.Science (New York, N.Y.) · 2025Article
- A complex social-acoustical environment supports development and maintenance in the zebra finch auditory pallium.Journal of neurophysiology · 2025Article
- Neural Activity During Call Production in the Female Zebra Finch Homolog of the Male Forebrain Song System.The European journal of neuroscience · 2025Article
- Detection of Individual Differences Encoded in Sequential Variations of Elements in Zebra Finch Songs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Context-dependent modulations in zebra finch distance calls revealed by a novel goal-directed vocalization paradigm.Scientific reports · 2025Article
- Gharial acoustic signaling: Novel underwater pops are temporally based, context-dependent, seasonally stable, male-specific, and individually distinctive.Journal of anatomy · 2025Article
- A Complex Acoustical Environment During Development Enhances Auditory Perception and Coding Efficiency in the Zebra Finch.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural sensitivity to frequency changes in song structure in a high-order auditory area reflects tutor song memory in adult songbirds.Brain structure & function · 2024Article
- A complex acoustical environment during development enhances auditory perception and coding efficiency in the zebra finch.bioRxiv : the preprint server for biology · 2024Article
- Disinhibition enables vocal repertoire expansion after a critical period.Nature communications · 2024Article
- Bird song comparison using deep learning trained from avian perceptual judgments.PLoS computational biology · 2024Article
- Pain cues override identity cues in baby cries.iScience · 2024Article
2 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
Although a universal code for the acoustic features of animal vocal communication calls may not exist, the thorough analysis of the distinctive acoustical features of vocalization categories is important not only to decipher the acoustical code for a specific species but also to understand the evolution of communication signals and the mechanisms used to produce and understand them. Here, we recorded more than 8000 examples of almost all the vocalizations of the domesticated zebra finch, Taeniopygia guttata: vocalizations produced to establish contact, to form and maintain pair bonds, to sound an alarm, to communicate distress or to advertise hunger or aggressive intents. We characterized each vocalization type using complete representations that avoided any a priori assumptions on the acoustic code, as well as classical bioacoustics measures that could provide more intuitive interpretations. We then used these acoustical features to rigorously determine the potential information-bearing acoustical features for each vocalization type using both a novel regularized classifier and an unsupervised clustering algorithm. Vocalization categories are discriminated by the shape of their frequency spectrum and by their pitch saliency (noisy to tonal vocalizations) but not particularly by their fundamental frequency. Notably, the spectral shape of zebra finch vocalizations contains peaks or formants that vary systematically across categories and that would be generated by active control of both the vocal organ (source) and the upper vocal tract (filter).
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