Extracting music and noise from the ear canal using a headset

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

Extracting music and noise from the ear canal using a headset. / Rämö, Jussi; Välimäki, Vesa; Vesa, Sampo; Väänänen, Riitta; Hämäläinen, Matti.

Proceedings of the AES International Conference: 2019 AES International Conference on Headphone Technology. Audio Engineering Society, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

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, United States, 27/08/2019.

APA

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.

Vancouver

Rämö J, Välimäki V, Vesa S, Väänänen R, Hämäläinen M. 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. 2019

Author

Rämö, Jussi ; Välimäki, Vesa ; Vesa, Sampo ; Väänänen, Riitta ; Hämäläinen, Matti. / Extracting music and noise from the ear canal using a headset. Proceedings of the AES International Conference: 2019 AES International Conference on Headphone Technology. Audio Engineering Society, 2019.

Bibtex - Download

@inproceedings{d11fee7f9c3b4bde8cb2d92fa340360c,
title = "Extracting music and noise from the ear canal using a headset",
abstract = "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.",
keywords = "Acoustics, adaptive filtering, audio systems, headphones",
author = "Jussi R{\"a}m{\"o} and Vesa V{\"a}lim{\"a}ki and Sampo Vesa and Riitta V{\"a}{\"a}n{\"a}nen and Matti H{\"a}m{\"a}l{\"a}inen",
year = "2019",
month = "8",
day = "21",
language = "English",
booktitle = "Proceedings of the AES International Conference",
publisher = "Audio Engineering Society",
address = "United States",

}

RIS - Download

TY - GEN

T1 - Extracting music and noise from the ear canal using a headset

AU - Rämö, Jussi

AU - Välimäki, Vesa

AU - Vesa, Sampo

AU - Väänänen, Riitta

AU - Hämäläinen, Matti

PY - 2019/8/21

Y1 - 2019/8/21

N2 - 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.

AB - 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.

KW - Acoustics

KW - adaptive filtering

KW - audio systems

KW - headphones

UR - http://www.scopus.com/inward/record.url?scp=85074558788&partnerID=8YFLogxK

M3 - Conference contribution

BT - Proceedings of the AES International Conference

PB - Audio Engineering Society

ER -

ID: 38782133