This paper describes a system for the automatic labelling of prosodic events. A rule-besed approach was chosen in order to make explicit the generally implicit knowledge and classification strategy applied in prosodic labelling. The purpose of the system is to label accents and phrase boudaries. The language chosen was French. First, the psychoacoustic parameters, pitch, duriation and loudness are extracted from the signal and pre-processed in order to find out clues related to the prosodic ecents. Then a set of rules is used to examine the results of this analysis and to determine the placemnet of the labels
Automatic speech processing has recently turned to the treatment of continuous spontaneous speech, w...
In the area of large speech corpora, there is a definite need for common prosodic notation system ba...
We present the results of a series of experiments in which naive listeners and expert annotators wer...
This paper describes a system for the automatic labelling of prosodic events. A rule-besed approach ...
This paper describes a system for the automatic labelling of prosodic events. A rule-besed approach ...
We explore the use of machine learning techniques (notably SVM classifiers and Conditional Random Fi...
This paper concerns the study of information derived from the melodic, temporal and intensity charac...
This paper presents results from experiments on automatic prosodic labeling. Using the WEKA machine ...
This study is about an approach that formulates an explicit way from continuous acoustic parameters ...
In this paper a method for the automatic labeling of phrase ac-cents is described, based on a large ...
We report a set of labelling criteria which have been developed to label prosodic events in clear, c...
Both unit-selection and HMM-based speech synthesis require large annotated speech corpora. To genera...
International audienceThis paper presents an automatic approach for the detection of the prosodic st...
In this paper a method for the automatic labeling of phrase accents is described, based on a large t...
Identification of prosodic phenomena is of first importance in <br />prosodic analysis and modeling. I...
Automatic speech processing has recently turned to the treatment of continuous spontaneous speech, w...
In the area of large speech corpora, there is a definite need for common prosodic notation system ba...
We present the results of a series of experiments in which naive listeners and expert annotators wer...
This paper describes a system for the automatic labelling of prosodic events. A rule-besed approach ...
This paper describes a system for the automatic labelling of prosodic events. A rule-besed approach ...
We explore the use of machine learning techniques (notably SVM classifiers and Conditional Random Fi...
This paper concerns the study of information derived from the melodic, temporal and intensity charac...
This paper presents results from experiments on automatic prosodic labeling. Using the WEKA machine ...
This study is about an approach that formulates an explicit way from continuous acoustic parameters ...
In this paper a method for the automatic labeling of phrase ac-cents is described, based on a large ...
We report a set of labelling criteria which have been developed to label prosodic events in clear, c...
Both unit-selection and HMM-based speech synthesis require large annotated speech corpora. To genera...
International audienceThis paper presents an automatic approach for the detection of the prosodic st...
In this paper a method for the automatic labeling of phrase accents is described, based on a large t...
Identification of prosodic phenomena is of first importance in <br />prosodic analysis and modeling. I...
Automatic speech processing has recently turned to the treatment of continuous spontaneous speech, w...
In the area of large speech corpora, there is a definite need for common prosodic notation system ba...
We present the results of a series of experiments in which naive listeners and expert annotators wer...