NDLI: On the use of instantaneous and transitional spectral information in speaker recognition

Content Provider	IEEE Xplore Digital Library
Author	Soong, F. Rosenberg, A.
Copyright Year	1986
Description	Author affiliation: AT&T Bell Laboratories, Murray Hill, NJ, USA (Soong, F.)
Abstract	The use of instantaneous and transitional spectral representations of spoken utterances for speaker recognition is investigated. LPC derived-cepstral coefficients are used to represent instantaneous spectral information and best linear fits of each cepstral coefficient over a specified time window are used to represent transitional information. An evaluation has been carried out using a data base of isolated digit utterances over dialed-up telephone lines by 10 talkers. Two vector quantization (VQ) codebooks, instantaneous and transitional, are constructed from training utterances for each speaker. The experimental results show that the instantaneous and transitional representations are relatively uncorrelated thus providing complementary information for speaker recognition. A rectangular window of approximately 100-150 ms duration provides an effective estimate of spectral transitions for speaker recognition. Also, simple transmission channel variations are shown to affect the instantaneous spectral representations and the corresponding recognition performance significantly, while the transitional representations and performance are relatively resistant.
Starting Page	877
Ending Page	880
File Size	378345
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1986.1168882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-04-07
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speaker recognition Cepstral analysis Linear predictive coding Spectral analysis Speech analysis Vector quantization Data mining Telephony Filter bank Predictive coding
Content Type	Text
Resource Type	Article

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