SynSing: open-source MATLAB code for generating synthetic signals in studies of animal acoustic communication

Jessie C. Tanner, Joshua Justison, Mark A. Bee

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Synthetic, computer-generated signals are widely used in playback studies of animal acoustic communication. Depending on the goals of the experimenter, they can offer several significant advantages over playbacks of recordings of edited or unedited natural signals. However, there are few ‘off the shelf’ software options for the bioacoustician interested in synthesizing signals that combine ease of use with versatility. Here, we introduce SynSing, a free, open-source graphical user interface (GUI) for generating synthetic acoustic and seismic signals in MATLAB for use in playback studies of animal acoustic communication. Following a brief overview of the GUI, we describe how users can specify a variety of spectral properties (e.g., fundamental frequency, relative amplitudes and starting phases of harmonic and inharmonic components, frequency modulation) and temporal properties (e.g., pulse, note, or call duration and rate, onset and offset characteristics of amplitude envelopes) to generate individual signals or long sequences of repeated signals. We demonstrate SynSing’s versatility by reconstructing synthetic signals from published studies of several frogs, a field cricket, a katydid, a grasshopper, and a spider. We also provide worked examples of simple birdsong, as well as pure tones, linear frequency modulated sweeps, and noise.

Original languageEnglish (US)
Pages (from-to)731-752
Number of pages22
JournalBioacoustics
Volume29
Issue number6
DOIs
StatePublished - Dec 2020

Bibliographical note

Funding Information:
The authors thank Michael S. Reichert, Norman Lee, and Justa L. Heinen-Kay for beta-testing the GUI and Alejandro Vélez and Søren V. Jørgensen for contributing base code. J.C.T. was supported by a National Science Foundation Graduate Research Fellowship under Grant No. 00039202 and a Ford Foundation Predoctoral Fellowship. This material is based upon work supported by an NSF Postdoctoral Research Fellowship in Biology (1811930) to J.C.T. and by a National Science Foundation grant (IOS-1452831) to M.A.B.

Keywords

  • Synthetic stimuli
  • acoustic signal
  • anuran
  • orthopteran
  • software
  • sound generation

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