Evidence map›Paper›PMID 40176526›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2025

How to analyse and manipulate nonlinear phenomena in voice recordings.

Andrey Anikin, Christian T Herbst

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Applying nonlinear dynamics to the voice: a historical perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  5. Review
  6. Nonlinear phenomena in mammalian vocal communication: an introduction and scoping review.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  7. How to analyse and manipulate nonlinear phenomena in voice recordings.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  8. Vocal communication and perception of pain in childbirth vocalizations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  9. Nonlinear phenomena in vertebrate vocalizations: mechanisms and communicative functions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  10. Biphonation in animal vocalizations: insights into communicative functions and production mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  11. Nonlinear vocal phenomena and speech intelligibility.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  12. Article
  13. The Scope and Limits of Iconic Prosody: Head Angle PredictsOpen mind : discoveries in cognitive science · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Andrey AnikinDivision of Cognitive Science, Lund University, Lund, Sweden.ORCID 0000-0002-1250-8261
Christian T HerbstUniversity of Vienna, Vienna, Austria.ORCID 0000-0001-9095-3953

Funding

Vetenskapsrådet
6 · The paper itself

Abstract

We address two research applications in this methodological review: starting from an audio recording, the goal may be to characterize nonlinear phenomena (NLP) at the level of voice production or to test their perceptual effects on listeners. A crucial prerequisite for this work is the ability to detect NLP in acoustic signals, which can then be correlated with biologically relevant information about the caller and with listeners' reaction. NLP are often annotated manually, but this is labour-intensive and not very reliable, although we describe potentially helpful advanced visualization aids such as reassigned spectrograms and phasegrams. Objective acoustic features can also be useful, including general descriptives (harmonics-to-noise ratio, cepstral peak prominence, vocal roughness), statistics derived from nonlinear dynamics (correlation dimension) and NLP-specific measures (depth of modulation and subharmonics). On the perception side, playback studies can greatly benefit from tools for directly manipulating NLP in recordings. Adding frequency jumps, amplitude modulation and subharmonics is relatively straightforward. Creating biphonation, imitating chaos or removing NLP from a recording are more challenging, but feasible with parametric voice synthesis. We describe the most promising algorithms for analysing and manipulating NLP and provide detailed examples with audio files and R code in supplementary material.This article is part of the theme issue 'Nonlinear phenomena in vertebrate vocalizations: mechanisms and communicative functions'.

Indexed as

Nonlinear DynamicsVocalization, AnimalVoiceAcousticsAnimalsAuditory PerceptionHumansacoustic analysisnonlinear phenomenavocal communicationvoicevoice synthesis

Identifiers

PMID40176526
PMCPMC11966163

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.