This work deals with non-native children's speech and investigates both multi-task and
transfer learning approaches to adapt a multi-language Deep Neural Network (DNN) to …

This paper describes" TLT-school" a corpus of speech utterances collected in schools of
northern Italy for assessing the performance of students learning both English and German …

In this paper, pronunciation variability between native and non-native speakers is
investigated, and a novel acoustic model adaptation method is proposed based on …

In recent years, various CALL systems which can evaluate a learner's pronunciation using
speech recognition technology have been proposed. In order to evaluate a learner's …

In this paper, we propose an acoustic model adaptation method based on a maximum
likelihood linear regression (MLLR) and a maximum a posteriori (MAP) adaptation using …

Automatic speech recognition technology has achieved maturity, where it has been widely
integrated into many systems. However, speech recognition system for non-native speakers …

In 20 to 40 percent of all cases of laryngeal cancer, total laryngectomy has to be performed,
ie the removal of the entire larynx. For the patient, this means the loss of the natural voice …

Focus of this work are pattern recognition related aspects of computer assisted
pronunciation training (CAPT) for second language learning. An overview of commercial …

Automatic speech recognition (ASR) technology has achieved a level of maturity, where it is
already practical to be used by novice users. However, most non-native speakers are still …

Abstract The Sammon Transform performs data projections in a topology-preserving manner
on the basis of an arbitrary distance measure. We use the weights of the observation …