Physical-model based efficient data representation for many-channel microphone array

Yuji Koyano, Kohei Yatabe, Yusuke Ikeda, Yasuhiro Oikawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    Abstract

    Recent development of microphone arrays which consist of more than several tens or hundreds microphones enables acquisition of rich spatial information of sound. Although such information possibly improve performance of any array signal processing technique, the amount of data will increase as the number of microphones increases; for instance, a 1024 ch MEMS microphone array, as in Fig. 1, generates data more than 10 GB per minute. In this paper, a method constructing an orthogonal basis for efficient representation of sound data obtained by the microphone array is proposed. The proposed method can obtain a basis for arrays with any configuration including rectangle, spherical, and random microphone array. It can also be utilized for designing a microphone array because it offers a quantitative measure for comparing several array configurations.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages370-374
    Number of pages5
    Volume2016-May
    ISBN (Electronic)9781479999880
    DOIs
    Publication statusPublished - 2016 May 18
    Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
    Duration: 2016 Mar 202016 Mar 25

    Other

    Other41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
    CountryChina
    CityShanghai
    Period16/3/2016/3/25

    Fingerprint

    Microphones
    Acoustic waves
    MEMS
    Signal processing

    Keywords

    • MEMS microphone
    • plane wave
    • principal component analysis (PCA)
    • solution space
    • wave equation

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    Cite this

    Koyano, Y., Yatabe, K., Ikeda, Y., & Oikawa, Y. (2016). Physical-model based efficient data representation for many-channel microphone array. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (Vol. 2016-May, pp. 370-374). [7471699] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2016.7471699

    Physical-model based efficient data representation for many-channel microphone array. / Koyano, Yuji; Yatabe, Kohei; Ikeda, Yusuke; Oikawa, Yasuhiro.

    2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. p. 370-374 7471699.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Koyano, Y, Yatabe, K, Ikeda, Y & Oikawa, Y 2016, Physical-model based efficient data representation for many-channel microphone array. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. vol. 2016-May, 7471699, Institute of Electrical and Electronics Engineers Inc., pp. 370-374, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 16/3/20. https://doi.org/10.1109/ICASSP.2016.7471699
    Koyano Y, Yatabe K, Ikeda Y, Oikawa Y. Physical-model based efficient data representation for many-channel microphone array. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May. Institute of Electrical and Electronics Engineers Inc. 2016. p. 370-374. 7471699 https://doi.org/10.1109/ICASSP.2016.7471699
    Koyano, Yuji ; Yatabe, Kohei ; Ikeda, Yusuke ; Oikawa, Yasuhiro. / Physical-model based efficient data representation for many-channel microphone array. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. pp. 370-374
    @inproceedings{9e56c1663e824e72821b9333510baeaa,
    title = "Physical-model based efficient data representation for many-channel microphone array",
    abstract = "Recent development of microphone arrays which consist of more than several tens or hundreds microphones enables acquisition of rich spatial information of sound. Although such information possibly improve performance of any array signal processing technique, the amount of data will increase as the number of microphones increases; for instance, a 1024 ch MEMS microphone array, as in Fig. 1, generates data more than 10 GB per minute. In this paper, a method constructing an orthogonal basis for efficient representation of sound data obtained by the microphone array is proposed. The proposed method can obtain a basis for arrays with any configuration including rectangle, spherical, and random microphone array. It can also be utilized for designing a microphone array because it offers a quantitative measure for comparing several array configurations.",
    keywords = "MEMS microphone, plane wave, principal component analysis (PCA), solution space, wave equation",
    author = "Yuji Koyano and Kohei Yatabe and Yusuke Ikeda and Yasuhiro Oikawa",
    year = "2016",
    month = "5",
    day = "18",
    doi = "10.1109/ICASSP.2016.7471699",
    language = "English",
    volume = "2016-May",
    pages = "370--374",
    booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

    }

    TY - GEN

    T1 - Physical-model based efficient data representation for many-channel microphone array

    AU - Koyano, Yuji

    AU - Yatabe, Kohei

    AU - Ikeda, Yusuke

    AU - Oikawa, Yasuhiro

    PY - 2016/5/18

    Y1 - 2016/5/18

    N2 - Recent development of microphone arrays which consist of more than several tens or hundreds microphones enables acquisition of rich spatial information of sound. Although such information possibly improve performance of any array signal processing technique, the amount of data will increase as the number of microphones increases; for instance, a 1024 ch MEMS microphone array, as in Fig. 1, generates data more than 10 GB per minute. In this paper, a method constructing an orthogonal basis for efficient representation of sound data obtained by the microphone array is proposed. The proposed method can obtain a basis for arrays with any configuration including rectangle, spherical, and random microphone array. It can also be utilized for designing a microphone array because it offers a quantitative measure for comparing several array configurations.

    AB - Recent development of microphone arrays which consist of more than several tens or hundreds microphones enables acquisition of rich spatial information of sound. Although such information possibly improve performance of any array signal processing technique, the amount of data will increase as the number of microphones increases; for instance, a 1024 ch MEMS microphone array, as in Fig. 1, generates data more than 10 GB per minute. In this paper, a method constructing an orthogonal basis for efficient representation of sound data obtained by the microphone array is proposed. The proposed method can obtain a basis for arrays with any configuration including rectangle, spherical, and random microphone array. It can also be utilized for designing a microphone array because it offers a quantitative measure for comparing several array configurations.

    KW - MEMS microphone

    KW - plane wave

    KW - principal component analysis (PCA)

    KW - solution space

    KW - wave equation

    UR - http://www.scopus.com/inward/record.url?scp=84973338434&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84973338434&partnerID=8YFLogxK

    U2 - 10.1109/ICASSP.2016.7471699

    DO - 10.1109/ICASSP.2016.7471699

    M3 - Conference contribution

    AN - SCOPUS:84973338434

    VL - 2016-May

    SP - 370

    EP - 374

    BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -