Extracting Music and Noise from the Ear Canal Using a Headset

Rämö J, Välimäki V, Vesa S, Väänänen R, Hämäläinen M. Extracting Music and Noise from the Ear Canal Using a Headset. In: AES Conference: 2019 AES INTERNATIONAL CONFERENCE ON HEADPHONE TECHNOLOGY. Audio Engineering Society; 2019. Paper 20. Available from: https://aes.org/publications/elibrary-page/?id=20513

@inproceedings{Ramo2019_20513,
  author = {Rämö, Jussi and Välimäki, Vesa and Vesa, Sampo and Väänänen, Riitta and Hämäläinen, Matti},
  title = {{Extracting Music and Noise from the Ear Canal Using a Headset}},
  booktitle = {AES Conference: 2019 AES INTERNATIONAL CONFERENCE ON HEADPHONE TECHNOLOGY},
  note = {Paper 20},
  year = {2019},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20513}
}

TY  - CPAPER
TI  - 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
T2  - AES Conference: 2019 AES INTERNATIONAL CONFERENCE ON HEADPHONE TECHNOLOGY
M1  - Paper 20
PY  - 2019
DA  - 2019/08/06
UR  - https://aes.org/publications/elibrary-page/?id=20513
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -