English Language Speech Research Articles

The Impact of The English Language Speech Assistant (ELSA) Application on Students’ Pronunciation Skills

This study aims to evaluate the impact of the ELSA Speak app on students' pronunciation learning at Universitas Muhammadiyah Makassar by comparing their performance before and after using the app. This study employed a pre-experimental design, utilizing a post-test and pre-test method with a quantitative approach. The researchers selected 40 students from the English education class A and B of 2023 at the university. A questionnaire was conducted to understand the students' perspectives on their pronunciation skills after undergoing the treatment. The results showed that only 4 students showed a decrease in scores of pre-tests and post-test (negative ranks), whereas 23 participants demonstrated an improvement from the pretest to the posttest. The data from the t-test analysis indicated that most students experienced an increase in pronunciation skills, demonstrating its effectiveness in improving the pronunciation of EFL learners. Additionally, this data shows that the ELSA Speak app has a significant impact on improving pronunciation and also motivation.

The Use of English Language Speech Assistant (ELSA) Speak Application to Improve Pronunciation

This research aimed to investigate the effectiveness of English Language Speech Assistant (ELSA) speak application is effective in improving students’ pronunciation at SMP Negeri 1 Sirenja. The primary research question is whether or not the use of English Language Speech Assistant (Elsa) speak application is effective in improving students’ pronunciation. The research used a quasi-experimental design with an applied non-equivalent control group design. The research used a purposive sampling technique and took a sample of 57 students. The subject of this research was the eighth-grade students at SMP Negeri 1 Sirenja class A and B. B class was an experimental group while A class was a control group. The research instrument was a pronunciation test that was given as a pre-test and post-test. The data collected was analyzed by using descriptive statistics and inferential analysis using SPSS 22 version program. Based on the result of the hypothesis test (t-test), the value from the data analysis that has been conducted shows a significance value of 0.000<0,05. In addition, the alternative hypothesis (Ha) is accepted while the null hypothesis (Ho) is rejected. In conclusion, the use of English Language Speech Assistant (ELSA) speak application is effective in improving students’ pronunciation.

Utilizing Artificial Intelligence in Language Learning: What About Engineering Students’ Perception?

Presented as a technological innovation set to usher in significant changes globally, artificial intelligence (AI) enters various segments of life, especially in the field of education. Civil engineering students, as part of their learning journey, try to apply it in class, especially in aspects of engineering English vocabulary. In the current study, students used the English Language Speech Assistant (ELSA) application. The research method used was descriptive research, where the research subjects were taken from 1 class of 29 students. In this study the questionnaires were used as instruments to collect research data. Based on the results of survey analysis and data collected, it was revealed that students had very good and positive perceptions of using the ELSA application. Students exhibit great joy and enthusiasm in learning engineering English vocabulary using the ELSA application. In addition to offering an effective means of pronouncing vocabulary words, this application's feedback also serves as a motivational factor to learn engineering English vocabulary. Thus, the student's positive perspective on this application of AI can be an indicator of the success of students' language learning in the future.

Effects of K-W-L Instructional Strategy on Academic Performance of Pupils in Primary Mathematics and English in Owerri North Lga of Imo State, Nigeria

The purpose of this study was to find out if learners taught algebraic expression/elementary statistics in Mathematics and parts of speech in English Language using K-W-L instructional strategy will have better academic performance than those taught with the conventional Teacher method at 0.05 alpha levels. The researchers used quasi-experimental design which adopted the pretest, post-test Experimental group method. The area of study was Owerri North LGA Imo State, Nigeria. The population of the study was all Primary 5 learners in Owerri North Public schools. Purposive sampling technique was used to select three primary schools and simple random sampling technique was used to select classes in each of the schools. The sample of the study was 120 primary learners. The data collection instruments for the study were treatment 1 (K-W-L instructional strategies), treatment 2, (TCM [Teacher conventional method), Treatment 3 (combined TCM & K-W-L), multiple-choice questions for each subject chosen from past FSLCE and Common entrance questions. Two research questions and one null hypothesis guided the study. Mean, standard deviation and ANCOVA were the statistical tools used to analyze the data. The findings of the study revealed that the group taught with combined TCM & K-W-L achieved higher academically than the group taught with only TCM or K-W-L. The study also discovered that K-W-L instructional strategy is gender friendly. It was recommended that primary school teachers should be encouraged to use K-W-L instructional strategy to facilitate learners’ performance in algebraic expression, elementary statistics and parts of speech. Furthermore Basic Education Stake holders should organize regular workshops and seminars to train and retrain teachers on the use of 21st century teaching strategies.

Analysis of political discourse based on the English-language speech of President of Ukraine V.O. Zelensky as of October 6, 2022

Analysis of political discourse based on the English-language speech of President of Ukraine V.O. Zelensky as of October 6, 2022

The Use of ELSA Speak as a Mobile-Assisted Language Learning (MALL) towards EFL Students Pronunciation

This study analyses how students' pronunciation can be improved through the use of the ELSA Speak as a Mobile-Assisted Language Learning (MALL) tool. ELSA stands for English Language Speech Assistant. The speech recognition function of ELSA Speak is powered by artificial intelligence (AI), and it provides users with feedback to help them improve their pronunciation, which improves their ability to speak English. This study investigates the influence and potential of the ELSA Speak application on the acquisition of pronunciation by employing a qualitative research method and a strategy that relies on library research. The findings highlight the significance of having an excellent content design, an efficient pedagogical and instructional design, gamified learning elements, automatic voice recognition technology, a secure learning environment, and individualised digital feedback. The findings of the study indicate that there is considerably significant potential for the ELSA Speak application to help students improve their pronunciation skills. The consequences of this research emphasize the necessity of utilising cutting-edge mobile applications for language learning and highlight the possible benefits for students interested in improving their pronunciation proficiency.
 
 Keywords: Elsa Speak; Mobile-Assisted Language Learning; Students' Pronunciation; Pronunciation Improvement.

Effect of Face Masks on Speech Intelligibility

With the advent of COVID, the wearing of face covering has been obligatory in both medical and everyday life. This paper describes three experiments undertaken to establish the effect of face coverings on speech sound power, speech directivity and speech intelligibility. The experiments used two different approaches acoustic measurements and word scores. The face coverings assessed were a 'standard blue' surgical mask, a typical fabric mask, and a plastic transparent visor. The results showed that non-native English speakers had by far the most difficulty in comprehending the English language speech when face coverings were worn in speech intelligibility tests, as measured using phonetically balanced word lists. All the masks were found to noticeably affect speech intelligibility, with the surgical mask having the least detrimental effect. The results are also compared to objective measurements of their physical acoustics characteristics to establish their performance.

IMPROVING THE STUDENTS' PRONUNCIATION USING ENGLISH LANGUAGE SPEECH ASSISTANT (ELSA) APPLICATION (A PRE-EXPERIMENTAL RESEARCH AT THE ELEVENTH GRADE STUDENTS OF SMAN 9 MAKASSAR)

This study aims to improve the students pronunciation using English Language Speech Assistant (ELSA) application. this research used pre-experimental research by quantitative method. There were 36 students of SMA Negeri 9 Makassar involved in this research. the test was pronounce word which consist of 40 words for pre-test and post-test.The findings of the study indicated that the English Language Speech Assistant (ELSA) application is significant in improving students' pronunciation. This was proven by the average score pre-test before treatment was 51.94 and the average score after Treatment has given was 63.47, the percentage of the improvement was 22.19%. This means that there is improvement of students' pronunciation.

INDIRECT SPEAKING IN ENGLISH AND JAVA (A CONTRASTIVE ANALYSIS)

This study discusses about Indirect speech in English and Javanese Language. The question in this research is what are the kind of indirect speech in English and Javanese, and also what are the similarities and differences in indirect sentences in the two languages. This study aims to find, explain categories and analyze indirect speech in English and Javanese in a contrasting. During the data collection of this research, the author asked 2 informants who could speak Javanese well and correctly. The gender of the informants who were asked were men and women aged around 20-40 years who had lived in East Java for 20-40 years. In the English data, the author takes several examples of Indirect Speech sentences from a book written. Then the writer collects all the data and identifies several sentences that have referred to an indirect speech in English and Javanese. Then the author describes the variations of Indirect Speech translated into English and Javanese and compared to find a similarity and some differences in Indirect Speech using the concept of Quick. The results in this study indicate that English has indirect speech likewise as Javanese language and has some similarities and a differences. In terms of similarities, English and Javanese have similarities in their types and shaped like an apostrophe, an interrogative sentence, a statement, command, exclamation and the sentence changes according to time and place. In contrast, English can turn into a verb to be and an auxiliary verb, while Javanese does not. Keywords: Indirect Speech, English and Javanese language, a Contrastive Analysis.

Real Time Speech Recognition in 1-Dimensional Using Convolution Neural Network

Abstract: Automatic voice recognition is a hot topic in artificial intelligence and machine learning, with the goal of creating robots that can communicate with humans through speech. Speech is an information-dense communication that includes both linguistic and paralinguistic information. Emotion is a prime example of paralinguistic information that is partially communicated through speech. Developing machines that can grasp non-linguistic information like emotion simplifies humanmachine communication by making it more natural and straightforward. The effectiveness of convolutional neural networks in recognizing speech has been examined in this study.. The input characteristics of the networks were wide-band spectrograms of voice samples. The networks were trained using voice signals produced by actors while acting out a given mood. Our models were trained and evaluated using English-language speech datasets. Two degrees of augmentations were applied to the training data in each database. To regularize the networks, the dropout approach was used. Our findings revealed that the genderagnostic, language-agnostic CNN models attained state-of-the-art accuracy, beat previously published results in the literature, and matched or even surpassed human performance on benchmark databases. Future research should look at the deep learning models' capacity to recognize speech emotion using real-world speech signals.

THE EFFECT OF USING ELSA (ENGLISH LANGUAGE SPEECH ASSISTANT) SPEAK APPLICATION ON STUDENTS’ SPEAKING ABILITY FOR THE ELEVENTH GRADE OF MAS DARUL AL MUHAJIRIN IN THE ACADEMIC YEAR 2021/2022

This research was conducted to the eleventh grade students of of MAS Darul Al Muhajirin in the academic year 2021/2022. This was an experimental research which used two group pre-test and post-test designs. The sample of research was 40 divided by two classes, XI-MIPA 2 as experimental class and XI-MIPA 1 as control class. This research was conducted to know the positive effect of using ELSA Speak Application on students’ speaking ability. Based on the students’ problems such as students worked hard to produce the English expression, students pronounced the words of the expression in inexact way, student used wrong intonation and stress in sounding the English expression. Having analyzed the data of pre-test and post-test by using t-test, from the result of calculation, it was obtained the value of the t-test was 10,619. The degree of freedom is 38 (df = because there was not df 38 in the t-table, so the writers decide to use df 40 since it was closer to 38 that df 30. The table at df 40 showed that the value of t-table ( was 2,02 for 5% and 2,70 for 1%. This result meant that the value of t-test was not appropriate with the criteria of acceptance of Ho, because the fact showed the value of t-test was higher than t-table (2,02 < 10,619 > 2,70). So, from that explanation, writers concluded that null hypothesis was rejected and alternative hypothesis was accepted. Hence, hypothesis stated that there was a significant effect of using ELSA (English Language Speech Assistant) Speak Application on students’ speaking ability for the eleventh grade of MAS Darul Al Muhajirin in the academic year 2021/2022.

A Study of Content-Based Recognition of Speech Utterance

Abstract: Automated voice recognition is a branch of algorithms and cognitive computing that tries to produce robots which can interact with other folks through speaking. Speaking is a data imply suggesting includes both verbal and psycholinguistic information in addition to paralinguistic data. Emotion is a good example of paralinguistic information transmitted in part through speech. Verbal interaction gets simpler because of the development of technologies that can comprehend paralinguistic information such as mood. In this Cnns circuits' usefulness in language research emotion identification was investigated. Spectrograms with a wide range of frequencies of audio samples remained employed as only a source characteristic for the internet infrastructure The circuits had been educated. to identify speaking patterns provided by performers when expressing a certain mood. We used English-language speech resources to validate and develop our technologies The information used for retraining was expanded by two levels in each database. As a result of this, the dropout strategy was employed to. The genderagnostic, language-agnostic CNN models, as per our findings, achieved the highest degree of accuracy, beat Consequences of elections in the literary, and equalled or even surpassed human performance on benchmark databases. Future study should test the capability of deep learning methods in voice emotion identification using real-life speech data. Keywords: Artificial intelligence, Machine Learning, Speech recognition, Convolutional neural network (CNN)

IMPROVING STUDENTS’ PRONUNCIATION SKILL USING ELSA SPEAK APPLICATION

The purpose of this research is to Introduce the ELSA Speak Application as media to improve students' pronunciation skills. English Language Speech Assistant is an acronym for ELSA. English Language Speech Assistant can be downloaded for free from AppStore or Google Play. complete with various features to improve the pronunciation and speaking of students with American accents by training them with various exercises to pronounce words/phrases/sentences correctly. Corresponding to the microphone icon that the learner can use directly to speak as the audio has been listened to.This research is an Action Research that aims to Improve students’ pronunciation skills using ELSA Speak Application. This research discusses how ELSA Speak Application as learning media can improve students’ pronunciation skills. The data were collected through a test of pronunciation and Interviews in Classroom action research. The researcher made three cycles and gave a score for each cycle. In the first cycle, the students’ Average score is 70 points, the second cycle is 75 points and the last cycle is 80 points. ELSA Speak application helps students pronounce a variety of words more easily and comprehensively. The results showed that the use of the ELSA Speak Application has provided convenience and benefits for students in improving their English Pronunciation skills by using the ELSA Speak application.

Active auditory learning in infants born preterm

In this volume of The Journal, Richard et al report a study demonstrating auditory learning of sounds in a foreign language by infants born preterm during their hospitalization in the neonatal intensive care unit (NICU). By sucking on a specialized pacifier, infants of English-speaking parents were able to actively elicit lullabies and speech in French or Mandarin Chinese. After 20 of these sessions, infants hearing either language showed differential electrophysiologic responses to speech sounds in these languages with no effects on their responses to English language speech sounds.

Slobodni neupravni i slobodni upravni govor u romanu "De Bello Civili" Svetislava Basare i njihovi prevodni ekvivalenti u engleskom jeziku

Most of the research studies on the translation equivalents of the direct and indirect speech were dealing with translations from English to Serbian language. In this paper, we investigate whether structural and/or stylistic movements occur when the free direct and free indirect speech (and their subtypes) are translated from Serbian language to English language. Novel De bello civili by Svetislav Basara is used as a research corpus. Almost all types of direct and indirect speech are present in the novel. Events in the novel take place very quickly, since the plot of the novel takes place in one day, reminding us how substantial the events of a single day can be. The events in the reality of fiction and events in the inner world of protagonists are mixed here, and hence the dominance of free direct speech. The research led to conclusion that forms in free indirect speech in English and Serbian language share most of the features (require context, use of past verb tenses, use of speech verbs and thoughts verbs that can be used in the main sentence etc), except for the sequence of tenses that is inherent in English and not in Serbian language. Since free direct speech does not include the shift of tenses, the examples of this type of reported speech are almost identical in both languages. Given that the narrator of the novel is at the same time the leading protagonist whose words are communicated, there is the omission of prenominal focalization, and there are cases when it is difficult to distinguish the free direct speech from free indirect speech. This implies the omission of author's speech and orthographic markers, which may impose a problem during translation. From the given examples, it can be seen that in some cases the translator was not guided by the Serbian language, in terms of following and communicating the reported speech. Although the free indirect speech is more flexible category in the Serbian language (Karavesović 2010), when translating into English there is often a problem of transferring all stylistic features. Following the rule of the sequence of tenses that is inherent in the English language, but not in Serbian, the translator diminishes the actuality achieved by the use of the free indirect speech in the original. Furthermore, sometimes it is very difficult to distinguish between the free direct and free indirect speech in the Serbian language; these two types of reported speech cannot be equalized in the English translation, and usually the indirect speech with subtypes is used as translation equivalent.

The Importance of Using Synonyms in Speech in English Language

This article provides detailed information on synonyms, its types, uses and other similar topics. Analogs of words enrich the language, enliven and diversify speech. With their help, the monotony of presentation and repetition of the same lexemes are diluted. Despite the fact that the lexical meaning of synonyms is very similar, each word still has its own connotation. Based on the foregoing, we understand how important it is to take into account the nuances of using synonyms, since some of them can be used only in a specific speech situation.

Elsa Speak App: Automatic Speech Recognition (ASR) for Supplementing English Pronunciation Skills

Nowadays, artificial intelligence (AI) became a special concern in language teaching for the reason that it can assist and enhance language learning for all levels of education. Again, it had beneficial roles for supplementing language teaching like ELSA Speak App one of Automatic Speech Recognition (ASR) used for teaching pronunciation. It studied how students heard, voiced, uttered, vocalized, and asserted the English words in the oral language, but the students often pronounced incorrect words with the result that the uttered words had faulty meaning. This study aimed to carry out English Language Speech Assistant (ELSA) Speak App to improve English language pronunciation skills to higher education learners that were the English Department Students of Nahdlatul Ulama University of Yogyakarta (UNU). The data were collected using a test of pronunciation and interview. The researcher also taught in the classroom. The results showed that ELSA Speak can increase the students’ pronunciation skills. It can be seen from the average scores obtained from the teaching cycles from two to four in grade. Clearly, ELSA Speak helped the students pronounce diverse words more easily and comprehensively. Also, the available features offered by this app like instant feedback enabled the students to pronounce precisely. In conclusion, ELSA Speak can improve the students’ pronunciation skills well and effectively. Indeed, it can motivate the students to engage in learning to pronounce.

Разработка авторской настольной игры на английском языке для старших дошкольников “Treasure Hunt” («Охота за сокровищами») на основе итеративного подхода к созданию игр

The paper aims to reveal the essence of the iterative approach to game creation, to describe the technology of creating the English learning board game for senior pre-schoolers. The article examines the existing approaches to game creation, identifies specificity of the iterative approach, and reveals its conceptual foundations. Scientific originality of the study involves developing methodological recommendations on the use of the iterative approach to creating a language learning game for pre-schoolers. The research findings are as follows: the author presents the English learning board game “Treasure Hunt” aimed to develop senior pre-schoolers’ English-language speech skills.

German-English Interference in the Field of Vocalism (Based on the Speech of Germans who Study English as a Foreign Language)

The growing popularity of contrastive phonology as a branch of linguis-tics is seen now, in particular, due to the spread of bilingualism and multilin-gualism. Globalization involves the ability to speak several languages, in the study of which the phonetic level is primarily considered. The purpose of this work is to examine and describe the most likely consequences arising from in-terference in the articulation of vowel sounds in the English-language speech of Germans who study English as a foreign language. The article deals with monophthongs, diphthongs, and triphthongs, dis-cusses possible variations in the articulation of sounds, as well as the processes of reduction, elision, and substitution. Descriptive and comparative methods are the leading ones in the work, however, the instrumental method is also used to determine deviations from the norm and the nature of changes in articulation. The paper identifies a number of trends in the articulation of English sounds by Germans and reveals the reasons of the main difficulties which stu-dents face while studying phonetic norms of RP and speaking German as their native language, i.e. the qualitative and quantitative mismatch of allophones. The achievement of this goal testifies to the theoretical significance of this work, namely, the possibility of further detailed research in the field of sociophonetics and phonostylistics.

ЯЗЫКОВЫЕ СРЕДСТВА ВЫРАЗИТЕЛЬНОСТИ АНГЛОЯЗЫЧНОГО БИЗНЕС-ТВИТТЕРА

Научная новизна работы заключается в попытке выделить характерные частотные механизмы лингвистической креативности бизнес-пользователей «Твиттера», такие как аббревиация, неологизация, релексикализация, блендинг, экспрессивно-оценочные средства. Актуальность настоящего исследования заключается в выявлении языковых механизмов лингвистической креативности «Бизнес-Твиттера». Задачей данного исследования является раскрытие функциональных и жанрообразующих характеристик микроблога «Твиттер».Целью данного исследования является выявление и классификация языковой специфики «Бизнес-Твиттера» как одного из наиболее значимых компонентов интернет-коммуникации, комплексный анализ функциональных особенностей англоязычного речевого поведения предпринимателей и управленцев в «Бизнес-Твиттере».Материалы и методы исследования. Выявление, систематизация и анализ исследования были проведены с привлечением методов: сплошной выборки, сопоставительного и сравнительного анализа, дескриптивного и дефиниционного методов, а также лингвопрагматического анализа и основных положений критического дискурс-анализа.Результаты. Автор приходит к выводу, что экспрессивно-оценочные средства делают язык и речь в «Бизнес-Твиттере» более емкими за счет экономии языковых средств и влияет на ассоциативное мышление потребителя, его эмоции и воображение.Область применения результатов. Результаты исследования могут быть использованы в курсах по языкознанию, стилистике английского языка, лексикологии английского языка; в спецкурсах по виртуальному жанроведению и основам компьютерной лингвистики. Результаты работы могут быть применимы как к улучшению языковой политики уже существующих бизнес-аккаунтов компаний в «Твиттере», так и к созданию новых.