3 documents found, page 1 of 1
Disfluency detection based on prosodic features for university lectures
Medeiros, H.; Moniz, H.; Batista, F.; Trancoso, I.; Nunes, L.This paper focuses on the identification of disfluent sequences and their distinct structural regions, based on acoustic and prosodic features. Reported experiments are based on a corpus of university lectures in European Portuguese, with roughly 32h, and a relatively high percentage of disfluencies (7.6%). The set of features automatically extracted from the corpus proved to be discriminant of the regions cont...
Comparing different machine learning approaches for disfluency structure detect...
Medeiros, H.; Batista, F.; Moniz, H.; Trancoso, I.; Nunes, L.This paper presents a number of experiments focusing on assessing the performance of different 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 experiments show that CARTs...
Genome-wide scan in Portuguese Island families implicates multiple loci in bipo...
Pato, Carlos N.; Pato, M. T.; Kirby, A.; Petryshen, T. L.; Medeiros, H.; Carvalho, C.; Macedo, A.; Dourado, A.; Coelho, I.; Valente, J.; Soares, M. J.As part of an extensive study in the Portuguese Island population of families with multiple patients suffering from bipolar disorder and schizophrenia, we performed an initial genome-wide scan of 16 extended families with bipolar disorder that identified three regions on chromosomes 2, 11, and 19 with genome-wide suggestive linkage and several other regions, including chromosome 6q, also approached suggestive l...