Results 81 to 90 of about 140,553 (240)
Syllable Structure and External Evidence
Kansas Working Papers in Linguistics, 1997 To determine what psycholinguistic evidence (or external evidence) such as slips of the tongue, monosyllabic word blends, and novel word games reveals about syllable structure, this investigation focuses on psycholinguistic research on the English and ...
Berardo, Marcellino
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Syllable processing in English
7th International Conference on Spoken Language Processing (ICSLP 2002), 2002 Item does not contain ...
Kearns, R., Norris, D., Cutler, A.
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Comparing timing models of two Swiss German dialects [PDF]
, 2010 Research on dialectal varieties was for a long time concentrated on phonetic aspects of language. While there was a lot of work done on segmental aspects, suprasegmentals remained unexploited until the last few years, despite the fact that prosody was ...
Siebenhaar, Beat
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Kai kurie akustiniai lietuvių kalbos ritmiškumo parametrai
Baltistica, 2013 Šio tyrimo tikslas – nustatyti skaitomos lietuvių kalbos ritmiškumo rodiklius, susijusius su garsinių segmentų trukme. Analizuojama penkių profesionalių diktorių (trijų vyrų ir dviejų moterų) perskaitytos ištraukos iš grožinių kūrinių (kiekvienas jų ...
Asta Kazlauskienė
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Research towards Improved Machine Recognition of Syllables with Initial /l/, /m/, /n/, and /r/ [PDF]
, 1967 Walter H. Jamison
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Lateral Differences in Perception of Dichotically Presented Synthetic CV Syllables and Steady-State Vowels [PDF]
, 1966 Donald Shankweiler +1 more
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Syllable frequency effects in immediate but not delayed syllable naming in English
Language, Cognition and Neuroscience, 2017 Syllable frequency effects in production tasks are interpreted as evidence that speakers retrieve precompiled articulatory programs for high frequency syllables from a mental syllabary. They have not been found reliably in English, nor isolated to the phonetic encoding processes during which the syllabary is thought to be accessed.
Joana Cholin +7 more
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Segmentation ART: A Neural Network for Word Recognition from Continuous Speech [PDF]
, 1998 The Segmentation ATIT (Adaptive Resonance Theory) network for word recognition from a continuous speech stream is introduced. An input sequeuce represents phonemes detected at a preproccesing stage.
Carpenter, Gail A., Wilson, Frank D. M.
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