Extracting music and noise from the ear canal using a headset

An adaptive real-time filtering technique for separating music and ambient noise signals in the ear canal of a headset user is proposed. The system has been tested with a dummy head under laboratory conditions. This paper compares the responses given by the real-time system with those obtained with standard laboratory measurements. Both the headphone response estimate and the noise level measurements remain highly accurate even at a high ambient noise level of 86 dBSPL inside the blocked ear canal. An efficient multirate version of the method is proposed for cases, where the ambient noise is dominated by low frequencies. The method has several useful applications for music listening in noise, including adaptive headphone target response equalization and unmasking of music.

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Acoustics, adaptive filtering, audio systems, headphones

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Rämö, J, Välimäki, V, Vesa, S, Väänänen, R & Hämäläinen, M 2019, Extracting music and noise from the ear canal using a headset . in Proceedings of the AES International Conference : 2019 AES International Conference on Headphone Technology . Audio Engineering Society, AES International Conference on Headphone Technology, San Francisco, California, United States, 27/08/2019 . < http://www.aes.org/e-lib/browse.cfm?elib=20513 >

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https://urn.fi/URN:NBN:fi:aalto-202001021339

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[article-cris] Sähkötekniikan korkeakoulu / ELEC

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Extracting music and noise from the ear canal using a headset

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