Publicação
Phoneme dedicated ANN improves segmental duration model
| Resumo: | The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set of ANNs trained specifically for each phoneme segment in order to avoid miscellaneous influence of (]iffen nt. yp( S of phouem(·! segments. Therefow, each ANN is dedicated to predict the duration of a specific phoneme segment. Objective and subjective measurements of t he performance of the PDANN model were compared with those of a typical ANN model using the same input features and database. |
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| Autores principais: | Teixeira, João Paulo |
| Outros Autores: | Freitas, Diamantino Silva |
| Ano: | 2008 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set of ANNs trained specifically for each phoneme segment in order to avoid miscellaneous influence of (]iffen nt. yp( S of phouem(·! segments. Therefow, each ANN is dedicated to predict the duration of a specific phoneme segment. Objective and subjective measurements of t he performance of the PDANN model were compared with those of a typical ANN model using the same input features and database. |
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