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 language | English (US) |
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Pages (from-to) | 731-752 |
Number of pages | 22 |
Journal | Bioacoustics |
Volume | 29 |
Issue number | 6 |
DOIs | |
State | Published - 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.
Funding Information:
This work was supported by the Directorate for Biological Sciences [1811930]; Division of Graduate Education [00039202]; Division of Integrative Organismal Systems [1452831]; Ford Foundation [Predoctoral Fellowship]. The authors thank Michael S. Reichert, Norman Lee, and Justa L. Heinen-Kay for beta-testing the GUI and Alejandro V?lez and S?ren V. J?rgensen 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.
Publisher Copyright:
© 2019 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Synthetic stimuli
- acoustic signal
- anuran
- orthopteran
- software
- sound generation