ArticleBehavior research methods2019
Soundgen: An open-source tool for synthesizing nonverbal vocalizations.
Article in Behavior research methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- Measuring surprisal in sound sequences.Behavior research methods · 2026Article
- The cost of construction noise: A case study on acoustic environment alteration and survival in pupfish (Cyprinodon variegatus).Journal of fish biology · 2026Article
- Animal acoustic communication has a conserved optimal rhythm within the neural delta range.PLoS biology · 2026Article
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- The ontogeny of vocal identity in carrion crows (Corvus corone).Animal cognition · 2025Article
- Chants across seven traditions share acoustic traits that enhance subjective relaxation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Nonlinear acoustic phenomena tune the adults' facial thermal response to baby cries with the cry amplitude envelope.Journal of the Royal Society, Interface · 2025Article
- Acoustic estimation of voice roughness.Attention, perception & psychophysics · 2025Article
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- Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation.JMIR formative research · 2025Article
- CoVox: A dataset of contrasting vocalizations.Behavior research methods · 2025Article
- Nonlinear acoustic phenomena affect the perception of pain in human baby cries.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Acoustic context and dynamics of nonlinear phenomena in mammalian calls: the case of puppy whines.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Vocal communication and perception of pain in childbirth vocalizations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- How to analyse and manipulate nonlinear phenomena in voice recordings.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Nonlinear phenomena in mammalian vocal communication: an introduction and scoping review.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Nonlinear phenomena in vertebrate vocalizations: mechanisms and communicative functions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Nonlinear vocal phenomena and speech intelligibility.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Machine learning algorithms can predict emotional valence across ungulate vocalizations.iScience · 2025Article
- Pitch characteristics of real-world infant-directed speech vary with pragmatic context, perceived adult gender, and infant gender.PloS one · 2025Article
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Abstract
Voice synthesis is a useful method for investigating the communicative role of different acoustic features. Although many text-to-speech systems are available, researchers of human nonverbal vocalizations and bioacousticians may profit from a dedicated simple tool for synthesizing and manipulating natural-sounding vocalizations. Soundgen ( https://CRAN.R-project.org/package=soundgen ) is an open-source R package that synthesizes nonverbal vocalizations based on meaningful acoustic parameters, which can be specified from the command line or in an interactive app. This tool was validated by comparing the perceived emotion, valence, arousal, and authenticity of 60 recorded human nonverbal vocalizations (screams, moans, laughs, and so on) and their approximate synthetic reproductions. Each synthetic sound was created by manually specifying only a small number of high-level control parameters, such as syllable length and a few anchors for the intonation contour. Nevertheless, the valence and arousal ratings of synthetic sounds were similar to those of the original recordings, and the authenticity ratings were comparable, maintaining parity with the originals for less complex vocalizations. Manipulating the precise acoustic characteristics of synthetic sounds may shed light on the salient predictors of emotion in the human voice. More generally, soundgen may prove useful for any studies that require precise control over the acoustic features of nonspeech sounds, including research on animal vocalizations and auditory perception.
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