• DocumentCode
    3363245
  • Title

    Formant AM-FM for speaker identification

  • Author

    Jankowski, C.R., Jr. ; Quatieri, T.F. ; Reynolds, D.A.

  • Author_Institution
    Lincoln Lab., MIT, Lexington, MA, USA
  • fYear
    1994
  • fDate
    25-28 Oct 1994
  • Firstpage
    608
  • Lastpage
    611
  • Abstract
    The performance of systems for speaker identification (SID) can be quite good with clean speech, though much lower with degraded speech. Thus it is useful to search for new features for SID, particularly features that are robust over a degraded channel. This paper investigates features that are based on amplitude and frequency modulations of speech formants. Such modulations are measured using a high-resolution energy operator and related algorithms for recovering amplitude and frequency from an AM-FM signal. When these features are added to traditional features using an existing SID system with a telephone speech database, SID performance improved by as much as 15%. Energy onset time measurements that yielded improved SID performance are also discussed
  • Keywords
    amplitude modulation; feature extraction; frequency modulation; signal resolution; speaker recognition; telephony; time measurement; AM-FM feature extraction; AM-FM signal; algorithms; amplitude modulation; clean speech; degraded channel; degraded speech; energy onset time measurements; formant AM-FM; frequency modulation; high-resolution energy operator; speaker identification; speech formants; systems performance; telephone speech database; Amplitude modulation; Degradation; Energy measurement; Frequency measurement; Frequency modulation; Robustness; Spatial databases; Speech; Telephony; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-2127-8
  • Type

    conf

  • DOI
    10.1109/TFSA.1994.467278
  • Filename
    467278