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Cross-language phoneme recognition for under-resourced languages
2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 2012In the present research, we explore several methods for transforming phoneme models from a language with acoustic models that have been trained (source language) to another, untrained language (target language). One approach uses acoustic distance-measures to automatically define the mapping from source to target phonemes.
Noam Lotner +7 more
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A Collection of Comparable Corpora for Under-resourced Languages
2010This paper presents work on collecting comparable corpora for 9 language pairs: Estonian-English, Latvian-English, Lithuanian-English, Greek-English, Greek-Romanian, Croatian-English, Romanian-English, Romanian-German and Slovenian-English. The objective of this work was to gather texts from the same domains and genres and with a similar level of ...
Inguna Skadina +6 more
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Automatic Development of ASR System for an Under-Resourced Language
2018 41st International Conference on Telecommunications and Signal Processing (TSP), 2018This paper deals with an automatic development of language specific parts (such as vocabulary, language model (LM) and acoustic model (AM)) for Automatic Speech Recognition system. It describes our automatic approach and whole process of adapting of ASR system for Latvian language.
Radek Safarík, Lukás Mateju
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Automatic speech recognition for an under-resourced language - amharic
Interspeech 2007, 2007In this paper we present the development of an Automatic Speech Recognition System (ASRS) for Amharic using limited available resources and the freely available speech toolkit (HTK). There are phonological, dialectal, orthographic and morphological features of Amharic that challenge the development of ASRSs.
Solomon Teferra Abate, Wolfgang Menzel
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The LREMap for under-resourced languages
2014abstract
Riccardo Del Gratta +4 more
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Automating the Creation of Speech Recognition Systems for Under-resourced Languages
2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI), 2015© 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these languages suffers frothe absence of speech services, therefore people cannot use them on their native languages and have to learn and use other languages in order to communicate with modern information technologies.
Aidar Khusainov
exaly +4 more sources
Automatic Extraction and Application of Language Descriptions for Under-Resourced Languages
2022Languages of our world are amazingly diverse, consisting of varied and complex systems of word, phrase, sentence construction, and vocabulary, to name a few. Understanding these systems is critical not only for language communication, but they also drive the design and development of language technologies.
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Language Modeling for Speech Analytics in Under-Resourced Languages
Interspeech 2020, 2020Simone Wills +3 more
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Documenting Under-resourced Languages of Sarawak, Borneo
Journal of Asian Linguistic AnthropologyWithin the last five decades, documentary linguistics has progressed as a field in its own right, and less as ancillary to descriptive linguistics, or as exclusively in reference to endangered languages (Himmelmann 1998; Austin 2015). This paper discusses the documentation of under-resourced languages.
Norahim, Norazuna, Badawi, Hardyman
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Multi-task learning in under-resourced Dravidian languages
Journal of Data Information and Management, 2022Bharathi Raja Chakravarthi +1 more
exaly