Colloque avec actes et comité de lecture. internationale.International audienceThis paper deals mainly with speech recognition of deaf people at word level. A related domain is also concerned, i.e., foreign language teaching for hearing persons. We present a set of lessons that have been developed and tested for the training of isolated words. These lessons extensively use automatic speech recognition algorithm based on global and analytical Hidden Markov Models
This paper proposes an unsupervised, batch-type, class-based language model adaptation method for s...
Natural language processing enables computer and machines to understand and speak human languages. S...
The authors investigate the possibility of using word-based vector quantization with hidden Markov m...
International audienceThis article discusses the automatic recognition of Cued Speech in French base...
International audienceCued Speech is a visual mode of communication that uses handshapes and placeme...
International audienceThis study focuses on alternative speech communication based on Cued Speech. C...
Human speech recognition in biometric systems is an actual problem, which science intensively deals ...
Abstract: This article discusses the automatic recognition of Cued Speech in French based on hidden ...
Abstract. Automatic speech recognition in database-lacking languages like Romanian must imply new sy...
This paper aims to discuss the implementation of an Isolated Word Recognition system for Autistic sp...
International audienceIn this paper, hidden Markov models (HMM)-based vowel and consonant automatic ...
International audienceSpeech is the most natural communication mean for humans. However, in situatio...
Cette thèse fait partie du projet RAPSODIE dont l’objectif est de proposer une reconnaissance vocale...
International audienceIn this article, automatic recognition of Cued Speech in French based on hidde...
International audienceThis work presents a novel framework to guide the Viterbi decoding process of ...
This paper proposes an unsupervised, batch-type, class-based language model adaptation method for s...
Natural language processing enables computer and machines to understand and speak human languages. S...
The authors investigate the possibility of using word-based vector quantization with hidden Markov m...
International audienceThis article discusses the automatic recognition of Cued Speech in French base...
International audienceCued Speech is a visual mode of communication that uses handshapes and placeme...
International audienceThis study focuses on alternative speech communication based on Cued Speech. C...
Human speech recognition in biometric systems is an actual problem, which science intensively deals ...
Abstract: This article discusses the automatic recognition of Cued Speech in French based on hidden ...
Abstract. Automatic speech recognition in database-lacking languages like Romanian must imply new sy...
This paper aims to discuss the implementation of an Isolated Word Recognition system for Autistic sp...
International audienceIn this paper, hidden Markov models (HMM)-based vowel and consonant automatic ...
International audienceSpeech is the most natural communication mean for humans. However, in situatio...
Cette thèse fait partie du projet RAPSODIE dont l’objectif est de proposer une reconnaissance vocale...
International audienceIn this article, automatic recognition of Cued Speech in French based on hidde...
International audienceThis work presents a novel framework to guide the Viterbi decoding process of ...
This paper proposes an unsupervised, batch-type, class-based language model adaptation method for s...
Natural language processing enables computer and machines to understand and speak human languages. S...
The authors investigate the possibility of using word-based vector quantization with hidden Markov m...