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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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audiomath: A neuroscientist's sound toolkit.

N Jeremy Hill1, Scott W J Mooney2,3, Glen T Prusky2,3,4

  • 1Stratton VA Medical Center, Albany, NY, USA.

Heliyon
|February 22, 2021
PubMed
Summary

Neuroscientists can now simplify auditory stimulus development with audiomath, a Python library for audio generation, manipulation, and precise timing. It addresses challenges in stimulus delivery and measurement for improved experimental accuracy.

Keywords:
Audio jitterAudio latencyAuditory stimuliPythonSoftware library

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Bioacoustics

Background:

  • Auditory stimuli are crucial in neuroscientific research, requiring specialized software for generation, manipulation, presentation, and recording.
  • Existing tools often have disparate functionalities, necessitating significant integration effort and engineering for precise stimulus timing verification.
  • Accurate stimulus timing is a persistent challenge in developing neuroscientific applications.

Purpose of the Study:

  • To introduce audiomath, a Python sound software library designed for neuroscientists.
  • To unify audio generation, manipulation, visualization, decoding, encoding, recording, and playback functionalities.
  • To provide insights into the challenges of precise stimulus timing and measurement, based on software development experience.

Main Methods:

  • Development of the audiomath Python library with an object-oriented interface.
  • Integration of specialized tools for measuring and optimizing stimulus timing.
  • Analysis of audio latency across various hardware, operating systems, and configurations.

Main Results:

  • audiomath simplifies auditory stimulus development by unifying diverse functionalities.
  • The library offers specialized tools for precise stimulus timing measurement and optimization.
  • Latency measurements reveal interactions between hardware, software, and stimulus presentation performance, highlighting potential pitfalls.

Conclusions:

  • audiomath streamlines the development of neuroscientific applications by unifying audio-related tasks.
  • The library aids in navigating the complexities of low-latency, low-jitter stimulus delivery and measurement.
  • audiomath empowers researchers to prioritize and achieve specific application goals in auditory stimulus presentation.