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 language | English |
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State | Published - 2019 |
Externally published | Yes |
Event | 147th Audio Engineering Society International Convention 2019 - New York, United States Duration: Oct 16 2019 → Oct 19 2019 |
Conference
Conference | 147th Audio Engineering Society International Convention 2019 |
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Country/Territory | United States |
City | New York |
Period | 10/16/19 → 10/19/19 |
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.