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Gradations of interpretability in spoken complex word recognition
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Pertinacity in loanwords: same underlying systems, different outputs
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Beyond decomposition: Processing zero-derivations in English visual word recognition
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Metrical grouping and cliticisation in Middle Dutch: Evidence from verse
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The neural correlates of morphological complexity processing: Detecting structure in pseudowords
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Phonological feature-based speech recognition system for pronunciation training in non-native language learning
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Abstract:
The authors address the question whether phonological features can be used effectively in an automatic speech recognition (ASR) system for pronunciation training in non-native language (L2) learning. Computer-aided pronunciation training consists of two essential tasks—detecting mispronunciations and providing corrective feedback, usually either on the basis of full words or phonemes. Phonemes, however, can be further disassembled into phonological features, which in turn define groups of phonemes. A phonological feature-based ASR system allows the authors to perform a sub-phonemic analysis at feature level, providing a more effective feedback to reach the acoustic goal and perceptual constancy. Furthermore, phonological features provide a structured way for analysing the types of errors a learner makes, and can readily convey which pronunciations need improvement. This paper presents the authors implementation of such an ASR system using deep neural networks as an acoustic model, and its use for detecting mispronunciations, analysing errors, and rendering corrective feedback. Quantitative as well as qualitative evaluations are carried out for German and Italian learners of English. In addition to achieving high accuracy of mispronunciation detection, the system also provides accurate diagnosis of errors.
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Keyword:
automatic speech recognition; mispronunciation detection; phonological features
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URL: https://doi.org/10.1121/1.5017834
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Open syllable lengthening in Middle Dutch: Evidence from verse
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The unabashed typologist: A Frans Plank Schubertiade: Prefac
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In: Linguistic Typology, vol 21, iss 2017 (2017)
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Asymmetric processing of consonant duration in Swiss German
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Attribute based shared hidden layers for cross-language knowledge transfer
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Phonological Feature Based Mispronunciation Detection and Diagnosis using Multi-Task DNNs and Active Learning
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"Fake" gemination in suffixed words and compounds in English and German
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In: "Fake" gemination in suffixed words and compounds in English and German (2016)
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"Fake" gemination in suffixed words and compounds in English and German
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In: Symplectic Elements at Oxford ; Added by author ; ORA review team (2016)
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Macroscopic and microscopic typology: Basic Valence Orientation, more pertinacious than meets the naked eye
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Mutation in Breton verbs: Pertinacity across generations
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In: Symplectic Elements at Oxford ; CrossRef ; ORA review team (2015)
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Height Differences in English Dialects: Consequences for Processing and Representation
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In: Symplectic Elements at Oxford ; CrossRef (2010)
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Phonological phrasing in Germanic: the judgement of history, confirmed through experiment
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In: Symplectic Elements at Oxford ; CrossRef (2010)
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Distinctive features: Phonological underspecification in representation and processing
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In: Symplectic Elements at Oxford ; CrossRef (2010)
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