Acoustic calibration in an echoic environment

Alexander Kazakov, Israel Nelken*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: The sound fed to a loudspeaker may significantly differ from that reaching the ear of the listener. The transformation from one to the other consists of spectral distortions with strong dependence on the relative locations of the speaker and the listener as well as on the geometry of the environment. With the increased importance of research in awake, freely-moving animals in large arenas, it becomes important to understand how animal location influences the corresponding spectral distortions. New method: We describe a full calibration pipeline that includes spatial sampling and estimation of the spectral distortions. We estimated the impulse responses of the environment using Golay complementary sequences. Using those sequences, we also describe an acoustic 3D localization method for freely moving animals. Results: In our arena, the impulse responses are dominated by a small number of strong reflections. We use this understanding to provide guidelines for designing the geometry of the environment as well as the presented sounds, in order to provide more uniform sound levels throughout the environment. Our 3D localization method achieves a 1.5 cm accuracy through the utilization of sound cues only. Comparison with existing methods: To our knowledge, this is the first description of a large-scale acoustic calibration pipeline with acoustic localization for neuroscience studies. Conclusions: Principled sampling of large arena allows for better design and control of the acoustic information provided to freely-moving animals.

Original languageAmerican English
Pages (from-to)60-70
Number of pages11
JournalJournal of Neuroscience Methods
Volume309
DOIs
StatePublished - 1 Nov 2018

Bibliographical note

Publisher Copyright:
© 2018 Elsevier B.V.

Keywords

  • 3D localization
  • Acoustic calibration
  • Echoic environments
  • Freely moving animals
  • Golay complementary sequences
  • Sound distortions

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