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

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

*Corresponding author for this work

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

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationInformation and Management Engineering - International Conference, ICCIC 2011, Proceedings
Pages10-17
Number of pages8
EditionPART 5
DOIs
StatePublished - 19 Sep 2011
Event2011 International Conference on Computing, Information and Control, ICCIC 2011 - Wuhan, China
Duration: 17 Sep 201118 Sep 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 5
Volume235 CCIS
ISSN (Print)1865-0929

Conference

Conference2011 International Conference on Computing, Information and Control, ICCIC 2011
CountryChina
CityWuhan
Period17/09/1118/09/11

Keywords

  • Dynamic Noise Environment
  • Hearing Aids
  • Mandarin Chinese
  • Pitch
  • Voice Activity Detection

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