Add to ORKGA formal structural representation of speech is presented in this paper. The representation is developed within the Evolving Transformation System (ETS) formalism and encapsulates speech processes at the articulatory level. We show how the class structure of several consonantal phonemes of English can be expressed via articulatory gestures. Elements of these classes can be detected in a corresponding structural representation of continuous speech. Our experimental results on the MOCHA articulatory corpus support the hypothesis that the proposed articulatory representation captures sufficient information for the accurate structural identification of phonemic classes
National audienceThis presentation deals on acoustic salience of vowels and consonants predicted fro...
In the framework of Articulatory Phonology, linguistic structures are represented in terms of coordi...
Abstract—This paper describes an improved method for the framework of structure-to-speech conversion...
A formal structural representation of speech consistent with the principles of combinatorial structu...
A formal structural representation of speech consistent with the principles of combinatorial struct...
A formal structural representation of speech consis-tent with the principles of combinatorial struct...
This paper deals with the formulation of an alternative, structural, approach to the speech represen...
One of the crucial issues which often needs to be addressed in structural approaches to speech repre...
Speech recognition has been a very active area of research over the past twenty years. Despite an ev...
Speech recognition has been a very active area of research over the past twenty years. Despite an ev...
In recent years, we have been pursuing an approach to phonetics and phonology that invokes dynamical...
One of the crucial issues which often needs to be addressed in structural approaches to speech repre...
This paper explores the issues involved in using symbolic metric algorithms for automatic speech rec...
In their studies of the articulatory patterns that underlie speech, Browman and Goldstein (see e.g. ...
This paper describes some of the results from the project entitled “New Parameterization for Emotion...
National audienceThis presentation deals on acoustic salience of vowels and consonants predicted fro...
In the framework of Articulatory Phonology, linguistic structures are represented in terms of coordi...
Abstract—This paper describes an improved method for the framework of structure-to-speech conversion...
A formal structural representation of speech consistent with the principles of combinatorial structu...
A formal structural representation of speech consistent with the principles of combinatorial struct...
A formal structural representation of speech consis-tent with the principles of combinatorial struct...
This paper deals with the formulation of an alternative, structural, approach to the speech represen...
One of the crucial issues which often needs to be addressed in structural approaches to speech repre...
Speech recognition has been a very active area of research over the past twenty years. Despite an ev...
Speech recognition has been a very active area of research over the past twenty years. Despite an ev...
In recent years, we have been pursuing an approach to phonetics and phonology that invokes dynamical...
One of the crucial issues which often needs to be addressed in structural approaches to speech repre...
This paper explores the issues involved in using symbolic metric algorithms for automatic speech rec...
In their studies of the articulatory patterns that underlie speech, Browman and Goldstein (see e.g. ...
This paper describes some of the results from the project entitled “New Parameterization for Emotion...
National audienceThis presentation deals on acoustic salience of vowels and consonants predicted fro...
In the framework of Articulatory Phonology, linguistic structures are represented in terms of coordi...
Abstract—This paper describes an improved method for the framework of structure-to-speech conversion...