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Wyszukujesz frazę "paralinguistics" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Acoustic Features of Filled Pauses in Polish Task-Oriented Dialogues
Autorzy:
Karpiński, M.
Powiązania:
https://bibliotekanauki.pl/articles/176845.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
filled pauses
paralinguistics
dialogue
acoustic properties
Polish
Opis:
Filled pauses (FPs) have proved to be more than valuable cues to speech production processes and important units in discourse analysis. Some aspects of their form and occurrence patterns have been shown to be speaker- and language-specific. In the present study, basic acoustic properties of FPs in Polish task-oriented dialogues are explored. A set of FPs was extracted from a corpus of twenty task- oriented dialogues on the basis of available annotations. After initial scrutiny and selection, a subset of the signals underwent a series of pitch, formant frequency and voice quality analyses. A significant amount of variation found in the realisations of FPs justifies their potential application in speaker recognition systems. Regular monosegmental FPs were confirmed to show relatively stable basic acoustic parameters, which allows for their easy identification and measurements but it may result in less significant differences among the speakers.
Źródło:
Archives of Acoustics; 2013, 38, 1; 63-73
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Le particolarità della comunicazione paralinguistica sull’esempio della cultura italiana
Autorzy:
Lomia, Nana
Powiązania:
https://bibliotekanauki.pl/articles/676260.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
comunicazione non verbale
codice di cinesica
paralinguistica
gestualità
il discorso
Nonverbal communication
kinesics code
paralinguistics
gesticulation
discourse
Opis:
This article is dedicated to the research of nonverbal elements in discourse. In order to direct the process of communication correctly and in order to evaluate it adequately it is essential not only to study the verbal part of communication but also to research all components of oral or written discourse. Chief amongst these components are the paralinguistic methods. This work also deals with nonverbal elements, such as facial expression, body location, distance between speakers, movements and gestures. This elements are described in the Italian language material.
L'articolo è dedicato alla ricerca di elementi non verbali nel discorso. Per dirigere correttamente il processo di comunicazione e per la sua adeguata valutazione è essenziale esaminare non solo la parte verbale, ma anche tutti i componenti del discorso scritto o orale, tra i quali i metodi paralinguistici. Lo studio si occupa di elementi extraverbali, come ad esempio: l’espressione del viso, la posizione del corpo, la distanza tra gli interlocutori, i movimenti, i gesti. Tutti i mezzi paralinguistici sono esaminati in base del materiale della lingua italiana.
Źródło:
e-Scripta Romanica; 2014, 1; 45-53
2392-0718
Pojawia się w:
e-Scripta Romanica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset
Autorzy:
Gosztolya, G.
Beke, A.
Neuberger, T.
Tóth, L.
Powiązania:
https://bibliotekanauki.pl/articles/177910.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
speech recognition
speech technology
computational paralinguistics
laughter detection
deep neural networks
Opis:
Laughter is one of the most important paralinguistic events, and it has specific roles in human conversation. The automatic detection of laughter occurrences in human speech can aid automatic speech recognition systems as well as some paralinguistic tasks such as emotion detection. In this study we apply Deep Neural Networks (DNN) for laughter detection, as this technology is nowadays considered state-of-the-art in similar tasks like phoneme identification. We carry out our experiments using two corpora containing spontaneous speech in two languages (Hungarian and English). Also, as we find it reasonable that not all frequency regions are required for efficient laughter detection, we will perform feature selection to find the sufficient feature subset.
Źródło:
Archives of Acoustics; 2016, 41, 4; 669-682
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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