A binaural model to estimate room impulse responses from running signals and recordings

Jonas Braasch, David A. Dahlbom, Nathan Keil

Research output: Contribution to conferencePaperpeer-review

Abstract

A binaural model is described that can use a multichannel signal to robustly localize a sound source in the presence of multiple reflections. The model also estimates a room impulse response from a running multichannel signal, e.g., from a recording, and determines the spatial locations and delays of early reflections, without any prior or additional knowledge of the source. A dual-layer crosscorrelation/autocorrelation algorithm is used to determine the interaural time difference (ITD) of the direct sound source component and to estimate a binaural activity pattern. The model is able to accurately localize broadband signals in the presence of room reflections.

Original languageEnglish
StatePublished - 2019
Externally publishedYes
Event147th Audio Engineering Society International Convention 2019 - New York, United States
Duration: Oct 16 2019Oct 19 2019

Conference

Conference147th Audio Engineering Society International Convention 2019
Country/TerritoryUnited States
CityNew York
Period10/16/1910/19/19

Funding

This material is based upon work supported by the National Science Foundation under Grant Nos. IIS-1320059 and BCS-1539276. The research presented in this chapter was carried out within Rensselaer Polytechnic Institute’s Cognitive and Immersive Systems Laboratory, a collaboration between RPI and IBM.

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