Low computational complexity pitch based VAD for dynamic environment in hearing aids

Yu Jui Chen*, Cheng Wen Wei, Yi Le Meng, Shyh-Jye Jou

*此作品的通信作者

    研究成果: Conference contribution同行評審

    1 引文 斯高帕斯(Scopus)

    摘要

    This paper presents a low computational complexity and high robust voice activity detection (VAD) algorithm. The algorithm is based on an efficient time-domain pitch detection and harmonic structure discrimination exploiting frequency decomposition by 1/3 octave filter bank defined in ANSI S1.11 standard. In addition, a simple yet efficient phoneme keeper (PK) is adopted for the detection of monosyllable languages, such as Mandarin. Simulation results reveal that the proposed VAD has very robust performance for Mandarin speeches in different environments, even for dynamic SNR (signal to noise ratio) and noise type. Furthermore, in white noise with 0dB SNR, the proposed VAD still has about 90 percent accuracy.

    原文English
    主出版物標題Information and Management Engineering - International Conference, ICCIC 2011, Proceedings
    頁面10-17
    頁數8
    版本PART 5
    DOIs
    出版狀態Published - 19 9月 2011
    事件2011 International Conference on Computing, Information and Control, ICCIC 2011 - Wuhan, 中國
    持續時間: 17 9月 201118 9月 2011

    出版系列

    名字Communications in Computer and Information Science
    號碼PART 5
    235 CCIS
    ISSN(列印)1865-0929

    Conference

    Conference2011 International Conference on Computing, Information and Control, ICCIC 2011
    國家/地區中國
    城市Wuhan
    期間17/09/1118/09/11

    指紋

    深入研究「Low computational complexity pitch based VAD for dynamic environment in hearing aids」主題。共同形成了獨特的指紋。

    引用此