A comparative study of connected speech features in Nigerian English & Received Pronunciation

English Today ◽  
2015 ◽  
Vol 31 (4) ◽  
pp. 21-29 ◽  
Author(s):  
Rotimi O. Oladipupo
Keyword(s):  
Comparative Study ◽  
Connected Speech ◽  
Word Boundaries ◽  
Speech Features ◽  
Received Pronunciation

Spoken Nigerian English (hereafter NigE) is said to differ significantly from Received Pronunciation (hereafter RP). Several studies (e.g. Adetugbo, 1977; 2004; Atoye, 1991; Udofot, 2004) conducted particularly from segmental and suprasegmental perspectives have established this. However, not so much has been done to verify this at the level of connected speech. Yet the features of connected speech contribute significantly to the marked difference between the native and non-native English accents and are capable of impairing intelligibility between speakers of both varieties (Allen, 1961: xiv; Laver, 1968: 156). Therefore, this study investigates two connected speech features (assimilation and elision) at morpheme and word boundaries, in order to provide explanations for how spoken educated NigE approximates to and deviates from RP.

scholarly journals Coalescent assimilation across word-boundaries in American English and in Polish English

2016 ◽  
Vol 14 (3) ◽  
pp. 235-262 ◽  
Author(s):  
Kamil Kaźmierski ◽  
Ewelina Wojtkowiak ◽  
Andreas Baumann
Keyword(s):  
Native Speaker ◽  
American English ◽  
Clear Picture ◽  
Second Step ◽  
Final Position ◽  
Connected Speech ◽  
Word Boundaries ◽  
English Pronunciation ◽  
Do So

Coalescent assimilation (CA), where alveolar obstruents /t, d, s, z/ in word-final position merge with word-initial /j/ to produce postalveolar /tʃ, dʒ, ʃ, ʒ/, is one of the most wellknown connected speech processes in English. Due to its commonness, CA has been discussed in numerous textbook descriptions of English pronunciation, and yet, upon comparing them it is difficult to get a clear picture of what factors make its application likely. This paper aims to investigate the application of CA in American English to see a) what factors increase the likelihood of its application for each of the four alveolar obstruents, and b) what is the allophonic realization of plosives /t, d/ if the CA does not apply. To do so, the Buckeye Corpus (Pitt et al. 2007) of spoken American English is analyzed quantitatively. As a second step, these results are compared with Polish English; statistics analogous to the ones listed above for American English are gathered for Polish English based on the PLEC corpus (Pęzik 2012). The last section focuses on what consequences for teaching based on a native speaker model the findings have. It is argued that a description of the phenomenon that reflects the behavior of speakers of American English more accurately than extant textbook accounts could be beneficial to the acquisition of these patterns.

scholarly journals Comparative Study of Classification Algorithms for Early Identification of Parkinson’s Disease Based on Baseline Speech Features

2020 ◽  
pp. 186-189
Author(s):  
Santhosh Kumar C ◽  
Vishnu Kumar Kaliappan ◽  
Rajasekaran Thangaraj ◽  
Pandiyan P
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Random Forest ◽  
Comparative Study ◽  
Early Identification ◽  
Naive Bayes ◽  
Classification Algorithms ◽  
Early Prediction ◽  
Speech Features

- In recent years, there is need for early identification of Parkinson’s disease (PD) based on measuring the features that causes disorders in elderly people. Around 80% of Parkinson’s patients show signs of speech-based disorders in the early stages of the disorder. In this paper, early prediction of Parkinson’s disease based on machine learning is compared between different classification algorithms. The proposed comparative study composed of feature extraction, preprocessing, feature selection and three different classification processes. Baseline features and Iterative Feature selection methods were well thought-out for feature selection process. We compare the performance of classification algorithms used for early prediction of Parkinson’s patients with speech disorders. Naïve Bayes, Multilayer Perceptron, Random Forest and J48 Classification algorithms were used for the categorization of Parkinson's patients in the experimental study. Random Forest and Naïve Bayes classification shows better performance from other two classifiers. 94.1176 % accuracy was obtained from the PD dataset with the smaller number of speech features.

scholarly journals Connected Speech Features from Picture Description in Alzheimer’s Disease: A Systematic Review

2018 ◽  
Vol 65 (2) ◽  
pp. 519-542 ◽  
Author(s):  
Antoine Slegers ◽  
Renée-Pier Filiou ◽  
Maxime Montembeault ◽  
Simona Maria Brambati
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Connected Speech ◽  
Speech Features ◽  
Picture Description

Use of Cepstral Analyses for Differentiating Normal From Dysphonic Voices: A Comparative Study of Connected Speech Versus Sustained Vowel in European Portuguese Female Speakers

2014 ◽  
Vol 28 (3) ◽  
pp. 282-286 ◽  
Author(s):  
Lilia F. Brinca ◽  
Ana Paula F. Batista ◽  
Ana Inês Tavares ◽  
Ilídio C. Gonçalves ◽  
Maria L. Moreno
Keyword(s):  
Comparative Study ◽  
Connected Speech ◽  
European Portuguese

scholarly journals Usage and efficacy of electronic dictionaries for a language without word boundaries

2016 ◽  
Vol 24 (2) ◽  
pp. 13
Author(s):  
Etsuko Toyoda
Keyword(s):  
Reading Comprehension ◽  
Comparative Study ◽  
Language Learners ◽  
Optimal Level ◽  
Target Language ◽  
Survey Study ◽  
Digital Text ◽  
Word Boundaries ◽  
Technical Issues ◽  
Cumulative Evidence

<p>There is cumulative evidence suggesting that hyper-glossing facilitates lower-level processing and enhances reading comprehension. There are plentiful studies on electronic dictionaries for English. However, research on e-dictionaries for languages with no boundaries between words is still scarce. The main aim for the current study is to investigate the usage and efficacy of e-dictionaries for Japanese language learners. This article reports the results of two studies concerning e-dictionaries: a survey study investigating the use of e-dictionaries (with a particular focus on e-glossaries that change a digital text into a hypertext) by L2 learners of Japanese, and a comparative study examining existing e-glossaries to evaluate whether they provide the optimal level of support for reading Japanese e-texts. The results of the survey showed that learners have their preferred e-dictionaries (in most cases, e-word dictionaries in which the user can look up individual words), and that few learners are aware of the existence of e-glossaries. The results of further study revealed that existing e-glossaries have various functions, but lack some requisite information crucial to the target language. This study suggests that technical issues revolving around the lack of spaces between words may be a reason for the lag in usage and efficacy of e-glossaries for languages without word boundaries.</p>

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