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Efficient localization of the cortical language network and its functional neuroanatomy in dyslexia
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Understanding teachers’ experiences in transitioning from a reading test preparation approach to a whole novel approach : a narrative case study.
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Development and diagnostic validation of the Brisbane Evidence-Based Language Test
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In: Research outputs 2014 to 2021 (2022)
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Inter-rater reliability, intra-rater reliability and internal consistency of the Brisbane Evidence-Based Language Test
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In: Research outputs 2014 to 2021 (2022)
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Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ...
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Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA)
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In: Sensors; Volume 22; Issue 4; Pages: 1583 (2022)
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Abstract:
The Montreal cognitive assessment (MoCA), a widely accepted screening tool for identifying patients with mild cognitive impairment (MCI), includes a language fluency test of verbal functioning; its scores are based on the number of unique correct words produced by the test taker. However, it is possible that unique words may be counted differently for various languages. This study focuses on Thai as a language that differs from English in terms of word combinations. We applied various automatic speech recognition (ASR) techniques to develop an assisted scoring system for the MoCA language fluency test with Thai language support. This was a challenge because Thai is a low-resource language for which domain-specific data are not publicly available, especially speech data from patients with MCIs. Furthermore, the great variety of pronunciation, intonation, tone, and accent of the patients, all of which might differ from healthy controls, bring more complexity to the model. We propose a hybrid time delay neural network hidden Markov model (TDNN-HMM) architecture for acoustic model training to create our ASR system that is robust to environmental noise and to the variation of voice quality impacted by MCI. The LOTUS Thai speech corpus was incorporated into the training set to improve the model’s generalization. A preprocessing algorithm was implemented to reduce the background noise and improve the overall data quality before feeding data into the TDNN-HMM system for automatic word detection and language fluency score calculation. The results show that the TDNN-HMM model in combination with data augmentation using lattice-free maximum mutual information (LF-MMI) objective function provides a word error rate (WER) of 30.77%. To our knowledge, this is the first study to develop an ASR with Thai language support to automate the scoring system of MoCA’s language fluency assessment.
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Keyword:
ASR; language fluency test; LOTUS corpus; MoCA; scoring; speech recognition; Thai tonal language
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URL: https://doi.org/10.3390/s22041583
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Towards a Sustainable Multidimensional Approach to English Proficiency Proof in the Post-Pandemic Era: Learning from the Legacy of COVID-19
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In: Sustainability; Volume 14; Issue 9; Pages: 5568 (2022)
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Examining English Ability-Grouping Practices by Aligning CEFR Levels with University-Level General English Courses in Taiwan
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In: Sustainability; Volume 14; Issue 8; Pages: 4629 (2022)
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Reasons behind Low Cervical Screening Uptake among South Asian Immigrant Women: A Qualitative Exploration
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1527 (2022)
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Developing Resilience to Disinformation: A Game-Based Method for Future Communicators
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In: Sustainability; Volume 14; Issue 9; Pages: 5438 (2022)
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On the Difference of Scoring in Speech in Babble Tests
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In: Healthcare; Volume 10; Issue 3; Pages: 458 (2022)
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Correlation between Language Development and Motor Skills, Physical Activity, and Leisure Time Behaviour in Preschool-Aged Children
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In: Children; Volume 9; Issue 3; Pages: 431 (2022)
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Overall, a Good Test, but…—Swedish Lower Secondary Teachers’ Perceptions and Use of National Test Results of English
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In: Languages; Volume 7; Issue 1; Pages: 64 (2022)
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Evaluating Perceptions towards the Consequential Validity of Integrated Language Proficiency Assessment
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In: Languages; Volume 7; Issue 1; Pages: 65 (2022)
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Matching EFL learners with appropriate levels of reading materials : Backing for using Extensive Reading Placement/Progress Test ; EFL学習者の言語能力レベルに適した多読マテリアル : EPERテストの妥当性研究
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Les adverbes prépositionnels en français au Québec (Saguenay – Lac- St-Jean) : questionnaire comportant 47 fiches ...
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Les adverbes prépositionnels en français au Québec (Saguenay – Lac- St-Jean) : questionnaire comportant 47 fiches ...
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