Incremental speaker adaptation with minimum error discriminative training for speaker identification

The minimum classification error (MCE) has been shown to be effective in improving the performance of a speaker identification system. However, there are still problems to solve, such as the variability of the voice characteristics of a particular speaker through time. In this paper, we analyze the...

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Bibliographische Detailangaben

Hauptverfasser:	del Alamo, C.M., Alvarez, J., de la Torre, C., Poyatos, F.J., Hernandez, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cepstral analysis Density functional theory Hidden Markov models Linear predictive coding Loss measurement Parameter estimation Speaker recognition State estimation Training data
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