Schedule as of Oct 11, 2022 - subject to change

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Wednesday, October 19 • 11:00am - 11:30am
Real-time spatialization via Eigen decomposition of head-related transfer functions

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A binaural spatialization method based on a lossy compression of Head-Related Transfer function (HRTF) databases via Eigen decomposition is introduced. The high compression ratio achieved with this method allows for the inclusion of interpolated HRTFs (about a million) while reducing the resulting database 20% from the original size. Compressed HRTFs have a spectral distortion ≤ 1 dB between 0.1 and 16 kHz. This distortion seems to have no significant effect on subjective accuracy, which is similar to the accuracy achieved with currently used audio spatializers. Compared to one of these methods, the proposed method shows an improvement in terms of processing time and memory requirements.

avatar for Juan Camilo Arevalo Arboleda

Juan Camilo Arevalo Arboleda

Student, University of Aizu
Camilo Arevalo received an Sc.B. in Computer Science (cum laude) from the Pontifical JaverianaUniversity Cali (Colombia) and an M.Sc. in Computer Science from the University of Aizu (Japan), he currently is a Ph.D. student at the same institution. His research topics are spatial sound... Read More →

Wednesday October 19, 2022 11:00am - 11:30am EDT
  Spatial Audio, Papers Oct 19 & 20
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