Perceptual Ratings Predict Speech Inversion Articulatory Kinematics in Childhood Speech Sound Disorders. [PDF]
Benway NR +5 more
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Assessment of acquired apraxia of speech: pilot study with the CBO protocol. [PDF]
Costa BM, Ortiz KZ.
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Nonword Repetition Assessing Auditory and Cognitive Abilities in Adult Cochlear Implant Users. [PDF]
Babaoglu G, Moberly AC, Tamati TN.
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Developing the Hungarian version of the MATCH test from the original German language: an evidence-based protocol for the translation, cultural adaptation and validation of paediatric speech audiometry tests from one language into another. [PDF]
Vasvári GP +5 more
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Peripheral phoneme encoding and discrimination in aging and hearing impairment
Wouters M +7 more
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Phoneme recognition by phoneme filter neural networks
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991A phoneme filter neural network (PFN) approach to vowel recognition is described. The PFN is a multilayer neural network with fewer hidden units than input units prepared for each of the phoneme categories. Each network is trained as identity mapping by speech data belonging to one phoneme category.
Masami Nakamura +2 more
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Bonded Phonemes or How Phonemic are the Phonemes?
Journal of Quantitative Linguistics, 2001It is a well-known fact that the members of a set of traditional phonemes, which by definition serve to distinguish the two members of a minimal pair (such as a ?/ i: in bite/beat), may occasionally be used interchangeably without any semantic consequences (as a ?/ i: in either). Phonemes that can alternate in this way are arguably more closely related
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The phoneme and the phoneme variant
Lingua, 1961Abstract The term phoneme is in the unique position of having been almost universally accepted. So much the more deplorable is it that it should have proved so difficult to tie the notion it covers down to terms we really understand. For what is a phoneme? And what is the relation between a phoneme and its so-called variants?
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The Design of Phoneme Grouping for Coarse Phoneme Recognition
2007Automatic speech recognition for real-world applications such as a robot should deal with speech under noisy environments. This paper presents coarse phoneme recognition which uses a phoneme group instead of a phoneme as a unit of speech recognition for such a real-world application.
Kazuhiro Nakadai +5 more
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This chapter covers the consonant and vowel phonemes of Akabea, stress, phonotactics, and morphophonological alternations. It also discusses our transcription, including limitations stemming from the imperfect primary documentation.
Raoul Zamponi, Bernard Comrie
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