Correlatos fonético-acústicos de fronteiras prosódicas na fala espontânea
Ano de defesa: | 2018 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Minas Gerais
UFMG |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://hdl.handle.net/1843/LETR-AX8HUG |
Resumo: | The present study presents proposals for automatic prosodic boundary detection models, based on multiple phonetic-acoustic parameters, in order to enable the construction of a computational tool capable of segmenting spontaneous speech into intonation units. A seven-segment sample of spontaneous monological speech was segmented into intonation units by 14 trained annotators. The prosodic boundaries perceived by the annotators were marked as terminal and non-terminal prosodic boundaries. A Praat acoustic analysis software script was developed to extract a series of phonetic-acoustic parameters along the sound signal. Two statistical classifiers, Random Forest (RF) and Linear Discriminant Analysis (LDA), were applied to generate models comprising subsets of phonetic-acoustic parameters, which could function as prosodic boundary predictors. An initial evaluation of the classifiers indicated that both display relative success in automatic boundary detection, although the LDA classifier presented a higher percentage of accuracy in predicting prosodic boundaries. Therefore, the models obtained through the LDA were refined. The final model for the automatic detection of terminal boundaries presents an 80% convergence in relation to the boundaries identified by the annotators for the speech sample. Concerning the non-terminal boundaries, three classification models were obtained. The sum of the number of boundaries identified by the three models corresponds to a 98% convergence in relation to the boundaries marked by the annotators. |