NDLI: Using the time frequency structure of pitch periods to improve speaker verification systems

Content Provider	IEEE Xplore Digital Library
Author	Nickel, R.M. Williams, W.J.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA (Nickel, R.M.)
Abstract	Commonly used robust speaker verification systems are based on time-varying autoregressive spectral estimation (AR) combined with hidden Markov modeling (HMM) or dynamic time warping (DTW). An exhaustive optimization of these methods in the past has culminated in quite reliable verification schemes. It seems unlikely, though, that further significant improvements are readily obtained along the same path. Unlike time-varying AR-modeling, which focuses on the the global spectral structure of an utterance, we are introducing a new method that focuses on the local time-varying spectral structure of individual pitch periods. Additionally, a pattern classification method using singular value decomposition (SVD) is employed. The new method by itself does not deliver better results than commonly used global methods; however, it is shown that an acceptance/rejection decision derived from both global and local analysis greatly improves the performance of the verification system.
Starting Page	145
Ending Page	148
File Size	376424
Page Count	4
File Format	PDF
ISBN	0780350731
DOI	10.1109/TFSA.1998.721382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Hidden Markov models Cepstral analysis Linear predictive coding Nickel Robustness Time varying systems Optimization methods Pattern classification Performance analysis
Content Type	Text
Resource Type	Article

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