A speaker identification system using a model of artificial neural networks for an elevator application
This paper presents a comparison of some features for speaker identification applied to a building security system. The features used in this paper are pitch, frequency formants, linear predictive coding (LPC) coefficients and cepstral coefficients computed from LPC. The comparison was based on a sy...
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| Veröffentlicht in: | Information sciences 2001-10, Vol.138 (1), p.1-5 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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