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Showing 1 to 15 of 28 results Save | Export
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It, Khuselt – International Journal of Web-Based Learning and Teaching Technologies, 2023
Due to the difficulties of speech signal processing, there is still a considerable gap between the ability of machines to correctly process and that of human beings. In order to overcome the defects of isolated learning and noise sensitivity of SOM, this paper proposes a new time self-organization model (TSOM) from the perspective of deep…
Descriptors: Foreign Countries, Pronunciation Instruction, Artificial Intelligence, English (Second Language)
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Sri Yuliani; Khulaifiyah; Andi Idayani – Pegem Journal of Education and Instruction, 2024
The Objective of the study was to ascertain how Rosetta Stone in English class affected students' ability to pronounce English. This methodology employed a quasi-experimental pretest-posttest design with 30 samples split into two groups. The technique used was non-probability sampling. Pronunciation test technique was employed for data collecting.…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Pronunciation Instruction
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Galip Kartal – Computer Assisted Language Learning, 2024
The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…
Descriptors: Computer Software, English (Second Language), Second Language Instruction, Second Language Learning
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John, Paul; Cardoso, Walcir; Johnson, Carol – Research-publishing.net, 2022
This study examines the L2 pronunciation feedback provided by the Automatic Speech Recognition (ASR) functionality in Google Translate (GT). We focus on three Quebec Francophone (QF) errors in English: th-substitution, h-deletion, and h-epenthesis. Four hundred and eighty male and female QF recordings of sentences with correctly and incorrectly…
Descriptors: Second Language Learning, Second Language Instruction, Audio Equipment, Accuracy
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Hirata, Saki; Yamada, Masanori – International Association for Development of the Information Society, 2022
Vocabulary learning that overlooks the discrimination of single sounds in English language learning could lead to communication difficulties, such as the inability to hear and speak English pronunciation. To address this issue, vocalization strategy, in which students listen to the sounds of words and memorize them aloud, is considered a useful…
Descriptors: Vocabulary Development, Audio Equipment, Pronunciation, English (Second Language)
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Rehman, Ivana; Silpachai, Alif; Levis, John; Zhao, Guanlong; Gutierrez-Osuna, Ricardo – Language Teaching Research, 2022
The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…
Descriptors: Pronunciation, English (Second Language), Second Language Learning, Second Language Instruction
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Ardiyani, Dewi Kartika; Wijayati, Primardiana Hermilia; Hidayat, Edy; Rofi'ah – Pegem Journal of Education and Instruction, 2023
This research was aimed at assessing the implementation of ZHA approach and students' opinion of the strategy. ZHA was carried out at the end of every "Konversation 2"(speaking) course class at the German Language Education Study Program at State University of Malang (PSPBJ UM). This research utilized the descriptive, qualitative…
Descriptors: German, Pronunciation, Pronunciation Instruction, State Universities
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Teeranon, Phanintra – Asian Journal of Education and Training, 2020
This research analyzes the acoustic characteristics and conducts a perception test of Thai tones produced by Chinese learners learning Thai through the "Thai Tone Application". A comparison of Thai tones pronounced by 40 Chinese learners learning Thai at Nakhon Ratchasima Rajabhat University with 40 Thai native speakers was also…
Descriptors: Acoustics, Auditory Perception, Language Tests, Thai
McCrocklin, Shannon – CALICO Journal, 2019
Although early ASR-based dictation programs were criticized for lack of accuracy and explicit feedback for L2 pronunciation practice, teachers and researchers have shown renewed interest. However, little is known about student reactions to ASRbased dictation practice. This qualitative study examines student perspectives, identifying advantages and…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, Student Attitudes
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Yoshida, Marla Tritch – CATESOL Journal, 2018
For decades, researchers and teachers have suggested ways to apply technology in teaching and learning pronunciation, and there are many useful tools that can be used for this purpose. However, many teachers feel unsure about how to teach pronunciation at all, and the idea of using computers, mobile devices, or other technology may make…
Descriptors: Pronunciation Instruction, English (Second Language), Second Language Learning, Second Language Instruction
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Gashaw, Anegagregn – International Journal of Education and Literacy Studies, 2017
In order to verify that English speeches produced by Ethiopian speakers fall under syllable-timed or stress-timed rhythm, the study tried to examine the nature of stress and rhythm in the pronunciation of Ethiopian speakers of English by focusing on one language group speaking Amharic as a native language. Using acoustic analysis of the speeches…
Descriptors: Language Rhythm, Language Variation, English (Second Language), Second Language Learning
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Ibáñez Moreno, Ana; Vermeulen, Anna; Jordano, Maria – Research-publishing.net, 2016
During the last decades of the 20th century, audiovisual products began to be audio described in order to make them accessible to blind and visually impaired people (Benecke, 2004). This means that visual information is orally described in the gaps between dialogues. In order to meet the wishes of the so-called On Demand (OD) generation that wants…
Descriptors: Audio Equipment, Oral Language, Second Language Learning, Second Language Instruction
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Sidgi, Lina Fathi Sidig; Shaari, Ahmad Jelani – Advances in Language and Literary Studies, 2017
The present study focuses on determining whether automatic speech recognition (ASR) technology is reliable for improving English pronunciation to Iraqi EFL students. Non-native learners of English are generally concerned about improving their pronunciation skills, and Iraqi students face difficulties in pronouncing English sounds that are not…
Descriptors: Computer Software, English (Second Language), Second Language Learning, Second Language Instruction
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Carranza, Mario – Research-publishing.net, 2016
This paper addresses the process of transcribing and annotating spontaneous non-native speech with the aim of compiling a training corpus for the development of Computer Assisted Pronunciation Training (CAPT) applications, enhanced with Automatic Speech Recognition (ASR) technology. To better adapt ASR technology to CAPT tools, the recognition…
Descriptors: Japanese, Second Language Learning, Phonemes, Computational Linguistics
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Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
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