Robust formant features for speaker verification in the lombard effect

Ileun Kwak, Hong Goo Kang

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

1 Citation (Scopus)

Abstract

This paper presents a voice controlled speaker verification system for hand-held devices in noisy environments. In noisy environments, users unintentionally increase their voice intensity because of the ear-mouth feedback mechanism i.e., the Lombard effect; thus, the characteristic of the input signal is much different from that in a quiet environment. To enhance the accuracy of a speaker verification system, this paper proposes a robust formant feature that represents the physical nature of the voice production system of the speaker. It utilizes the analysis results that the impact of Lombard varies depending on the types and levels of the background noise, but the third and fourth formant frequencies are insensitive even in the Lombard condition. Experimental results show that optimal performance can be achieved when the above formant frequencies and corresponding bandwidths are combined.

Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages114-118
Number of pages5
ISBN (Electronic)9789881476807
DOIs
Publication statusPublished - 2016 Feb 19
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 162015 Dec 19

Publication series

Name2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

Other

Other2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
CountryHong Kong
CityHong Kong
Period15/12/1615/12/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modelling and Simulation
  • Signal Processing

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