Výsledky vyhledávání - "Katarina Bartkova"

Correlation between prosody and pragmatics: case study of discourse markers in French and English

Autor: Denis Jouvet, Lou Lee, Mathilde Dargnat, Katarina Bartkova, Yvon Keromnes

Publikováno v: INTERSPEECH 2020
INTERSPEECH 2020, Oct 2020, Shanghai, China
INTERSPEECH

International audience; This paper investigates the prosodic characteristics of French and English discourse markers according to their pragmatic meaning in context. The study focusses on three French discourse markers (alors ['so'], bon ['well'], an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ced6f5d84bec1de9259122b3e6e2ad38
https://inria.hal.science/hal-02968475/file/interspeech-final-revised.pdf

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Prosodic and Pragmatic Values of Discourse Particles in French

Autor: Katarina Bartkova, Mathilde Dargnat, Denis Jouvet, Lou Lee

Publikováno v: ExLing 2018-9th Tutorial and Research Workshop on Experimental Linguistics
ExLing 2018-9th Tutorial and Research Workshop on Experimental Linguistics, Aug 2018, Paris, France

International audience; This paper analyses prosodic properties of three discourse particles (DP) in French: 'alors' ('so'), 'bon' ('well') and 'donc' ('thus'), according to their different pragmatic functions. DP occurrences of these words extracted

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9810e933dff2d7bb41832027b88c8e38
https://inria.hal.science/hal-01889925

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Analysis of prosodic correlates of emotional speech data

Autor: Katarina Bartkova, Denis Jouvet

Publikováno v: ExLing 2018-9th Tutorial and Research Workshop on Experimental Linguistics
ExLing 2018-9th Tutorial and Research Workshop on Experimental Linguistics, Aug 2018, Paris, France

International audience; The study of expressive speech styles remains an important topic as to their parameters detection or prediction in speech processing. In this paper, we analyze prosodic correlates for six emotion styles (anger, disgust, joy, f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678212bd0bf44ddd7bd7e25a47015248
https://inria.hal.science/hal-01889932

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Analysis and Automatic Classification of Some Discourse Particles on a Large Set of French Spoken Corpora

Autor: Mathilde Dargnat, Katarina Bartkova, Denis Jouvet, Lou Lee

Publikováno v: Statistical Language and Speech Processing ISBN: 9783319684550
SLSP

In French, quite a number of words and expressions are frequently used as discourse particles in spoken language, especially in spontaneous speech. The semantic load of these words or expressions differ whether they are used as discourse particles or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76bee4482b18b2f56f2b6532e279f95b
https://doi.org/10.1007/978-3-319-68456-7_3

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How to be a discourse particle?

Autor: Mathilde Dargnat, Katarina Bartkova, Alice Bastien

Publikováno v: Speech Prosody 2016
Speech Prosody 2016, Boston University, May 2016, Boston, MA, United States

International audience; Our study analyses some prosodic correlates of nine French words or expressions: alors, quoi, voilà, bon, ben, tu sais, vous savez, tu vois, vous voyez. Besides their general grammatical categorization as adverb, pronoun, pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83ed15ee11e1fee4e79cbf493ee71c94
https://doi.org/10.21437/speechprosody.2016-176

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Prosodic parameters and prosodic structures of French emotional data

Autor: Katarina Bartkova, Elisabeth Delais-Roussarie, Denis Jouvet

Publikováno v: Speech Prosody 2016
Speech Prosody 2016, May 2016, Boston, United States

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 Fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d83d2410f27e5da70d203a0d0137fe0
https://doi.org/10.21437/speechprosody.2016-132

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On using units trained on foreign data for improved multiple accent speech recognition

Autor: Denis Jouvet, Katarina Bartkova

Publikováno v: Speech Communication. 49:836-846

Foreign accented speech recognition systems have to deal with the acoustic realization of sounds produced by non-native speakers that does not always match with native speech models. As the standard native speech modeling alone is generally not adequ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8a43ded38c4b62721b53711bf48bc2f
https://doi.org/10.1016/j.specom.2006.12.009

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Acoustical Frame Rate and Pronunciation Variant Statistics

Autor: Katarina Bartkova, Denis Jouvet

Publikováno v: Statistical Language and Speech Processing ISBN: 9783319257884
SLSP
Proceedings SLSP'2015, 3rd International Conference on Statistical Language and Speech Processing
International Conference on Statistical Language and Speech Processing
International Conference on Statistical Language and Speech Processing, Nov 2015, Budapest, Hungary

International audience; Speech technology enables computing statistics on word pronunciation variants as well as investigating various phonetic phenomena. This is achieved through a forced alignment of large amounts of speech signals with their possi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d3c3c67de21818c42306489006e3aa2
https://doi.org/10.1007/978-3-319-25789-1_12

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Discourse Particles in French: Prosodic Parameters Extraction and Analysis

Autor: Katarina Bartkova, Mathilde Dargnat, Denis Jouvet

International audience; Detecting the correct syntactic function of a word is of great importance for language and speech processing. The semantic load of a word is different whether its function is a discourse particle or a preposition. Words having

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f2a6f2f35388fdd088dc8277fd2c1b8
https://doi.org/10.1007/978-3-319-25789-1_5

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