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dc.contributor.authorChen, Yu-Juien_US
dc.contributor.authorWei, Cheng-Wenen_US
dc.contributor.authorMeng, Yi-Leen_US
dc.contributor.authorJou, Shyh-Jyeen_US
dc.date.accessioned2018-08-21T05:56:37Z-
dc.date.available2018-08-21T05:56:37Z-
dc.date.issued2010-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146410-
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.subjectVoice Activity Detectionen_US
dc.subjectPitchen_US
dc.subjectDynamic Noise Environmenten_US
dc.subjectHearing Aidsen_US
dc.subjectMandarin Chineseen_US
dc.titleLow Computational Complexity Pitch Based VAD for Dynamic Environment in Hearing Aidsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2010 INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING (ICBSSP 2010)en_US
dc.citation.spage162en_US
dc.citation.epage165en_US
dc.contributor.department電機學院zh_TW
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000394722100042en_US
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