4,648 research outputs found
Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information
This thesis explores methods to rapidly bootstrap automatic speech recognition systems for languages, which lack resources for speech and language processing. We focus on finding approaches which allow using data from multiple languages to improve the performance for those languages on different levels, such as feature extraction, acoustic modeling and language modeling. Under application aspects, this thesis also includes research work on non-native and Code-Switching speech
Marathi Speech Synthesis: A Review
This paper seeks to reveal the various aspects of Marathi Speech synthesis. This paper has reviewed research development in the International languages as well as Indian languages and then centering on the development in Marathi languages with regard to other Indian languages. It is anticipated that this work will serve to explore more in Marathi language.
DOI: 10.17762/ijritcc2321-8169.15064
An overview of the research evidence on ethnicity and communication in healthcare
• The aim of the present study was to identify and review the available
research evidence on 'ethnicity and communication' in areas relevant to
ensuring effective provision of mainstream services (e.g. via interpreter,
advocacy and translation services); provision of services targeted on
communication (e.g. speech and language therapy, counselling,
psychotherapy); consensual/ participatory activities (e.g. consent to
interventions), and; procedures for managing and planning for linguistic
diversity
Automatic Pronunciation Assessment -- A Review
Pronunciation assessment and its application in computer-aided pronunciation
training (CAPT) have seen impressive progress in recent years. With the rapid
growth in language processing and deep learning over the past few years, there
is a need for an updated review. In this paper, we review methods employed in
pronunciation assessment for both phonemic and prosodic. We categorize the main
challenges observed in prominent research trends, and highlight existing
limitations, and available resources. This is followed by a discussion of the
remaining challenges and possible directions for future work.Comment: 9 pages, accepted to EMNLP Finding
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