International audienceWe aim at examining to what extent a knowledge-based model can recognise segmental structure without feedback from semantic information and without stochastic modelling. The system pro-posed is inspired by some features of human cognitive processing: the speech signal activates parallel distributed processes of decoding. A supervisor module takes the final decision after the access to a dictionary and a top-down verification
When automatically recognising or synthesising speech by computer, we are forced to make a number of...
Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speec...
Despite the fact that speech recognition involves a fair amount of natural language processing, ther...
The aim of Speech Recognition is to identify with machines what a speaker is saying. This process ca...
National audienceThe topic of this study is automatic speech recognition and concerns more precisely...
A distributed rule-based system for automatic speech recognition is described. Acoustic property ext...
Item does not contain fulltextThis chapter reviews the computational processes that are responsible ...
Summary. Auditory processing of speech is an important stage in the closed-loop human speech communi...
We present a parallel approach for integrating speech and natural language understanding. The method...
A prototype isolated word recogniser was constructed, with an auditory-based analysis component and ...
We present a parallel approach for integrating speech and natural language understanding. The method...
One of the fundamental questions about language is how listeners map the acoustic signal onto syllab...
In this article a new approach to the distinction between serial/contingent and parallel/independent...
Abstract. Large-vocabulary continuous-speech recognition (LVCR) speakerindependent systems whichinte...
State-of-the-art automatic speech recognition (ASR) systems are significantly inferior to humans esp...
When automatically recognising or synthesising speech by computer, we are forced to make a number of...
Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speec...
Despite the fact that speech recognition involves a fair amount of natural language processing, ther...
The aim of Speech Recognition is to identify with machines what a speaker is saying. This process ca...
National audienceThe topic of this study is automatic speech recognition and concerns more precisely...
A distributed rule-based system for automatic speech recognition is described. Acoustic property ext...
Item does not contain fulltextThis chapter reviews the computational processes that are responsible ...
Summary. Auditory processing of speech is an important stage in the closed-loop human speech communi...
We present a parallel approach for integrating speech and natural language understanding. The method...
A prototype isolated word recogniser was constructed, with an auditory-based analysis component and ...
We present a parallel approach for integrating speech and natural language understanding. The method...
One of the fundamental questions about language is how listeners map the acoustic signal onto syllab...
In this article a new approach to the distinction between serial/contingent and parallel/independent...
Abstract. Large-vocabulary continuous-speech recognition (LVCR) speakerindependent systems whichinte...
State-of-the-art automatic speech recognition (ASR) systems are significantly inferior to humans esp...
When automatically recognising or synthesising speech by computer, we are forced to make a number of...
Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speec...
Despite the fact that speech recognition involves a fair amount of natural language processing, ther...