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Found 15 papers, 0 papers with code
Negation Detection in Dutch Spoken Human-Computer Conversations
We use transfer learning and trained NegBERT (an existing BERT implementation used for negation detection) on English data with multilingual BERT to detect negation in Dutch dialogues.
Multilingual Transfer Learning for Children Automatic Speech Recognition
Our results provide a positive answer to our research question, by showing that using transfer learning on top of a multilingual model for an unseen language outperforms conventional single language-specific learning.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
The Effect of eHealth Training on Dysarthric Speech
In the current study on dysarthric speech, we investigate the effect of web-based treatment, and whether there is a difference between content and function words.
Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications
Voicebots have provided a new avenue for supporting the development of language skills, particularly within the context of second language learning.
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders
We saw that ASR has potential at this stage of the reading process, as the results suggested that pupils made progress in reading accuracy and fluency by using the software.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics
Automatic assessment of reading fluency using automatic speech recognition (ASR) holds great potential for early detection of reading difficulties and subsequent timely intervention.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses
Alzheimer's Disease (AD) is the world's leading neurodegenerative disease, which often results in communication difficulties.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages
LARA (Learning and Reading Assistant) is an open source platform whose purpose is to support easy conversion of plain texts into multimodal online versions suitable for use by language learners.
Dedicated Language Resources for Interdisciplinary Research on Multiword Expressions: Best Thing since Sliced Bread
Multiword expressions such as idioms (beat about the bush), collocations (plastic surgery) and lexical bundles (in the middle of) are challenging for disciplines like Natural Language Processing (NLP), psycholinguistics and second language acquisition, , due to their more or less fixed character.
BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being
The goal of Behaviour-based Language-Interactive Speaking Systems (BLISS) is to understand the motivations behind people{'}s happiness by conducting a personalized spoken dialogue based on a happiness model.
A Dutch Dysarthric Speech Database for Individualized Speech Therapy Research
We present a new Dutch dysarthric speech database containing utterances of neurological patients with Parkinson{'}s disease, traumatic brain injury and cerebrovascular accident.
A Shared Task for Spoken CALL?
We argue that the field of spoken CALL needs a shared task in order to facilitate comparisons between different groups and methodologies, and describe a concrete example of such a task, based on data collected from a speech-enabled online tool which has been used to help young Swiss German teens practise skills in English conversation.
ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning
In this paper we describe the language resources developed within the project Feedback and the Acquisition of Syntax in Oral Proficiency (FASOP), which is aimed at investigating the effectiveness of various forms of practice and feedback on the acquisition of syntax in second language (L2) oral proficiency, as well as their interplay with learner characteristics such as education level, learner motivation and confidence.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
The DISCO ASR-based CALL system: practicing L2 oral skills and beyond
In this paper we describe the research that was carried out and the resources that were developed within the DISCO (Development and Integration of Speech technology into COurseware for language learning) project.
