Essays about: "Phoneme"
Showing result 21 - 25 of 29 essays containing the word Phoneme.
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21. Swedish Second Language Learners’ Ability to Pronounce English Contrastive Consonant Phonemes
University essay from Högskolan i Halmstad/Akademin för lärande, humaniora och samhälleAbstract : The purpose of this study is to investigate sixth form students’ pronunciation, and their exposure to English during their English lessons in school. The focus of the study is to investigate whether or not the students have problems with pronouncing the contrastive consonant phonemes that do not exist, or are rarely used in the Swedish language (i. READ MORE
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22. Charlie likes sherry and chips, Shirley likes cherries and ships : New sounds in a new language
University essay from Stockholms universitet/Engelska institutionenAbstract : This study aims at investigating the suitability of the Contrastive Analysis Hypothesis and the Speech Learning Model in describing young Swedish learners’ L2 phonology difficulties. It also explores what L1 sounds they replace L2 sounds with, and whether spelling has any influence on pronunciation. READ MORE
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23. A preliminary analysis of the phoneme inventory of Ulubuya, a variety within the Masaba dialect continuum
University essay from Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : .... READ MORE
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24. Tracking Linguistic Primitives: The Phonosemantic Realization of Fundamental Oppositional Pairs
University essay from Lunds universitet/Masterprogram: Språk och språkvetenskap; Lunds universitet/Allmän språkvetenskapAbstract : This thesis investigates how cross-linguistic phoneme distributions of 56 fundamental oppositional concepts can reveal semantic relationships by looking into the linguistic forms of 75 genetically and areally distributed languages. Based on proposals of semantic primes (Goddard 2002), reduced Swadesh lists (Holman et al. READ MORE
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25. A critical examination of deep learningapproaches to automated speech recognition
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Recently, deep learning techniques have been successfully applied to automatic speech recognition (ASR) tasks. Most current speech recognition systems use Hidden Markov Models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) are exploited to model the emission probability of the HMM. READ MORE