Vocal tract length normalization strategy based on maximum likelihood criterion

In this paper performances of automatic speech recognition systems which use vocal tract length normalization (VTN) are presented. Beside standard procedure for VTN coefficient estimation several variants based on robust statistic methods are introduced. All systems which use VTN performed better th...

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Bibliographische Detailangaben

Hauptverfasser:	Jakovljevic, N.M., Secujski, M.S., Delic, V.D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automatic speech recognition Hidden Markov models Loudspeakers Materials testing Maximum likelihood estimation Mel frequency cepstral coefficient Parameter estimation Piecewise linear techniques Robustness speech recognition Statistics vocal tract length normalization
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