Prosodic parameters and prosodic structures of French emotional data
| Autor: | Katarina Bartkova, Elisabeth Delais-Roussarie, Denis Jouvet |
|---|---|
| Přispěvatelé: | Analyse et Traitement Informatique de la Langue Française (ATILF), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Speech Modeling for Facilitating Oral-Based Communication (MULTISPEECH), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Linguistique Formelle (LLF UMR7110), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL) |
| Rok vydání: | 2016 |
| Předmět: |
media_common.quotation_subject
Speech recognition 05 social sciences Anger emotions Speech processing neutral style 050105 experimental psychology Disgust Style (sociolinguistics) Sadness 030507 speech-language pathology & audiology 03 medical and health sciences Surprise [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Vowel Reading (process) 0501 psychology and cognitive sciences 0305 other medical science Psychology emotional speech prosodic parameters media_common |
| Zdroj: | Speech Prosody 2016 Speech Prosody 2016, May 2016, Boston, United States |
| DOI: | 10.21437/speechprosody.2016-132 |
| Popis: | International audience; The detection and modelling of emotions in speech remains a challenging issue in speech processing. The aim of the study presented here is to analyze and compare the use of several prosodic parameters in emotional speech in French. The data set used for the study contains utterances recorded in six emotional types: anger, fear, sadness, disgust, surprise and joy. The sentences of the emotional data are also recorded by the same speaker in a neutral reading style allowing a comparison between emotional and neutral speech. The prosodic analysis focuses to the main prosodic parameters such as vowel duration, energy and F0 level, and pause occurrences. The values of prosodic parameters are compared among the various emotional styles, as well as between emotional style and neutral style utterances. Moreover, the structuration of the sentences, in the various emotional styles, is particularly studied here through a detailed analysis of pause occurrences and their length, and of the length of prosodic groups. |
| Databáze: | OpenAIRE |
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