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Descripción
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| We present several innovative techniques that can be applied in a PPRLM system for language identification (LID). To normalize the scores, eliminate the bias in the scores and improve the classifier, we compared the bias removal technique (up to 19% relative improvement (RI)) and a Gaussian classifier (up to 37% RI). Then, we include additional sources of information in different feature vectors of the Gaussian classifier: the sentence acoustic score (11% RI), the average acoustic score for each phoneme (11% RI), and the average duration for each phoneme (7.8% RI). The use of a multiple-Gaussian classifier with 4 feature vectors meant an additional 15.1% RI. Using 4 feature vectors instead of just PPRLM provides a 26.1% RI. Finally, we include additional acoustic HMMs of the same language with success (10% relative improvement). We will show how all these improvements have been mostly additive. | |
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Internacional
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Si |
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Nombre congreso
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8th Annual Conference of the Internacional Speech Communication Association (Interspeech 2007) |
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Tipo de participación
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960 |
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Lugar del congreso
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Antwerp, Belgium |
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Revisores
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Si |
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ISBN o ISSN
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ISSN 1990-9772 |
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DOI
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Fecha inicio congreso
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27/08/2007 |
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Fecha fin congreso
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31/08/2007 |
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Título de las actas
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