mlsanityData to 7 Oct 2026

SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation

arXiv 2106.12992 ↗First posted 24 Jun 2021cs.SD cs.LG eess.AScited by 1

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Abstract (arXiv)

This paper introduces a shoebox room simulator able to systematically generate synthetic datasets of binaural room impulse responses (BRIRs) given an arbitrary set of head-related transfer functions (HRTFs). The evaluation of machine hearing algorithms frequently requires BRIR datasets in order to simulate the acoustics of any environment. However, currently available solutions typically consider only HRTFs measured on dummy heads, which poorly characterize the high variability in spatial sound perception. Our solution allows to integrate a room impulse response (RIR) simulator with different HRTF sets represented in Spatially Oriented Format for Acoustics (SOFA). The source code and the compiled binaries for different operating systems allow to both advanced and non-expert users to benefit from our toolbox, see https://github.com/spatialaudiotools/sofamyroom/ .

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 36 references that are in the map. First posted on arXiv 24 Jun 2021.

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7 of 36 references.

References · 7

  1. 2016Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classificationcited by 84
  2. 2019Machine learning in acoustics: theory and applicationscited by 36
  3. 2017Broadband DOA estimation using Convolutional neural networks trained with noise signalscited by 15
  4. 2014Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifoldscited by 5
  5. 2019Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoescited by 3
  6. 2016Hearing in a shoe-box : binaural source position and wall absorption estimation using virtually supervised learningcited by 2
  7. 2016VAST : The Virtual Acoustic Space Traveler Datasetcited by 2

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