Comparing different machine learning approaches for disfluency structure detection in a corpus of university lectures
machine learning methods on the identification of disfluencies and their distinct structural regions over speech data. Several machine learning methods have been applied, namely Naive Bayes, Logistic Regression, Classification and Regression Trees (CARTs), J48 and Multilayer Perceptron. Our experime...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/5355 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/5355 |