类 型
8 篇文献
 
Comparaison de trois outils de détection automatique de proéminences en français parlé  
This paper presents the inner details of three different algorithms for prominence detection. On the basis of a 50- minute corpus made of five speaking styles and manually annotated for prominence, a ......
1次引用 0 0
La détection des proéminences syllabiques. Un aller-retour entre l'annotation manuelle et le traitement automatique  
4次引用 0 0
A method for automatic and dynamic estimation of discourse genre typology with prosodic features  
This paper presents a work-in-progress on the automatic analy- sis of discourse genre in non-elicited speech. The study is fo- cused on the development of bottom-up methods for automatic validation of......
Annual Conference of the International Speech Communication Association  2008
4次引用 0 0
Vers une automatisation de la détection des proéminences en français parlé  
Prosodic transcription of spoken corpora relies mainly on the identification of perceived prominence. However, the manual annotation of prominent phenomena is extremely time-consuming, and varies grea......
0次引用 0 0
A Syllable-Based Prominence Detection Model Based on Discriminant Analysis and Context-Dependency  
On the basis of our previous work, we propose a syllable- based prominence detection model within the framework of ex- ploratory data analysis and discriminant learning in the acoustic domain. This pa......
0次引用 0 0
ProsoReport: an automatic tool for prosodic description. Application to a radio style 1  
The paper has two goals: to present a toolbox for prosodic and phonostylistic description, and to use it for studying a specific radio style. This tool is quasi-automatic and modular. It consists of a......
0次引用 0 0
C-PROM. An Annotated Corpus for French Prominence Study  
This paper presents C-PROM, an annotated corpus for French prominence studies. The corpus, including different regional varieties of French (Belgian, Swiss and metropolitan French) and various discour......
0次引用 0 0
French prominence: A probabilistic framework  
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labelling. The authors set thei......
International Conference on Acoustics, Speech, and Signal Processing  2008
2次引用 0 0

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