• DocumentCode
    672409
  • Title

    Testing the validity and reliability of forensic voice comparison based on reassigned time-frequency representations of Chinese /iau/

  • Author

    Enzinger, Ewald

  • Author_Institution
    Forensic Voice Comparison Lab., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    18-21 Nov. 2013
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Time-frequency reassigned representations of vowel segments have repeatedly been proposed as features for performing forensic voice comparison (FVC). Combined with a thresholding on the second-order mixed partial derivative of the short-time Fourier transform (STFT) phase to reduce artifacts and noise (pruning) such representations offer a sharpened representation of AM/FM components in the speech signal. We test the validity and reliability of FVC systems based on pruned reassigned time-frequency representations extracted from manually labeled /iau/ segments from a database of voice recordings of 60 female Chinese speakers. Logistic-regression fusion was used to combine the systems with a baseline MFCC GMM-UBM system. Performance was assessed as degree of improvement over the baseline system. Three recording channel conditions were tested: high-quality v high-quality, mobile-to-landline v mobile-to-landline, and mobile-to-landline v high-quality. For the latter two conditions improvements over the baseline system were observed in terms of validity, but with decreases in reliability.
  • Keywords
    Fourier transforms; regression analysis; speech processing; AM/FM components; FVC systems; MFCC GMM UBM system; STFT; baseline system; forensic voice comparison; logistic regression fusion; reassigned time frequency representations; recording channel conditions; sharpened representation; short time Fourier transform; speech signal; vowel segments; History; Mel frequency cepstral coefficient; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Forensics and Security (WIFS), 2013 IEEE International Workshop on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/WIFS.2013.6707787
  • Filename
    6707787