This paper presents the results of a prosodic and phonostylistic analysis based on C-PhonoGenre, an 8-hour-long spoken French corpus, consisting of 9 speaking situations and (on average) 10 speakers per situation. The corpus was automa- tically segmented at the phonetic, syllabic and word levels (EasyAlign), and in larger pause-separated units. Part-of- speech annotation (DisMo) and prominent syllable detection (ProsoProm) was added automatically. The corpus was also manually annotated at the syllabic level for stylistic variants, such as post-tonic schwas, liaisons, elisions, disfluencies, audible breaths and noises. Acoustic analyses (ProsoReport, DurationAnalyser) provide more than 100 micro- and macro- prosodic measures, which we correl...
This paper concerns the study of information derived from the melodic, temporal and intensity charac...
The aim of this paper is to present a tool developed in order to generate French rhythmical structur...
We explore the use of machine learning techniques (notably SVM classifiers and Conditional Random Fi...
This communication presents partial results from an on-going study on prosodic and phonostylistic va...
This study focuses on prosodic differences between speaking styles, and their automatic distinction....
International audienceOur study focuses on the issue of prosodic annotation and of the prosody ~ syn...
International audienceAfter a brief overview of the phonological and physical parameters of prosody ...
Until fairly recently, annotation of continuous French speech has either been relatively rudimentary...
International audienceRhapsodie is a 33000-word treebank of spoken French that is annotated for synt...
International audienceThis paper addresses prosodic aspects of phraseology from the point of view of...
Objective: This empirical corpus study presents an analysis of stylistic variation on the temporal, ...
Current studies in phonological and phonetic variation make an ever increasing use of large oral cor...
While speech synthesis research is now focussing on the generation of various speaking styles or emo...
While speech synthesis research is now focussing on the generation of various speaking styles or emo...
Within the framework of communicative accommodation theory, this study investigates the phonostylist...
This paper concerns the study of information derived from the melodic, temporal and intensity charac...
The aim of this paper is to present a tool developed in order to generate French rhythmical structur...
We explore the use of machine learning techniques (notably SVM classifiers and Conditional Random Fi...
This communication presents partial results from an on-going study on prosodic and phonostylistic va...
This study focuses on prosodic differences between speaking styles, and their automatic distinction....
International audienceOur study focuses on the issue of prosodic annotation and of the prosody ~ syn...
International audienceAfter a brief overview of the phonological and physical parameters of prosody ...
Until fairly recently, annotation of continuous French speech has either been relatively rudimentary...
International audienceRhapsodie is a 33000-word treebank of spoken French that is annotated for synt...
International audienceThis paper addresses prosodic aspects of phraseology from the point of view of...
Objective: This empirical corpus study presents an analysis of stylistic variation on the temporal, ...
Current studies in phonological and phonetic variation make an ever increasing use of large oral cor...
While speech synthesis research is now focussing on the generation of various speaking styles or emo...
While speech synthesis research is now focussing on the generation of various speaking styles or emo...
Within the framework of communicative accommodation theory, this study investigates the phonostylist...
This paper concerns the study of information derived from the melodic, temporal and intensity charac...
The aim of this paper is to present a tool developed in order to generate French rhythmical structur...
We explore the use of machine learning techniques (notably SVM classifiers and Conditional Random Fi...