An adaptive real-time ?ltering 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 ef?cient 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.
Rämö, Jussi; Välimäki, Vesa; Vesa, Sampo; Väänänen, Riitta; Hämäläinen, Matti
Affiliations: Aalto University, Espoo, Finland; Nokia Technologies, Espoo, Finland(See document for exact affiliation information.)
AES Conference: 2019 AES INTERNATIONAL CONFERENCE ON HEADPHONE TECHNOLOGY (August 2019)
Paper Number: 20
Publication Date: August 21, 2019
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