An improved spectral subtraction algorithm based on auditory masking in voice human-computer interaction

Ji Xiang Lu, Ping Wang, Sui Huai Yu, Chang De Lu

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

5 Scopus citations

Abstract

As the primary research area of the Multimoda1 Human-computer Interaction, Voice Interaction mainly involves extraction and identification of the natural speech signal, where the former provides the reliable signal sources, which are analyzed by the latter. The speech enhancement technology is studied in this paper, aiming at the Voice Interactive. We propose an improved spectral subtraction (SS) algorithm based on auditory masking effect. The simulated results compared to the traditional SS show the effectiveness and superiority of the improved algorithm.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
Pages1938-1941
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 - Xi'an, China
Duration: 4 Aug 20107 Aug 2010

Publication series

Name2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

Conference

Conference2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
Country/TerritoryChina
CityXi'an
Period4/08/107/08/10

Keywords

  • Auditory masking
  • Multimodal human-computer interaction
  • Spectral subtraction
  • Threshold
  • Voice human-computer interaction

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