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Journal articles on the topic 'Speech and language technologies'

Author: Grafiati

Published: 18 April 2022

Last updated: 30 July 2025

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1

Pérez-Córdoba, José L., Francesc Alías-Pujol, and Zoraida Callejas. "Special Issue on IberSPEECH 2022: Speech and Language Technologies for Iberian Languages." Applied Sciences 14, no. 11 (2024): 4505. http://dx.doi.org/10.3390/app14114505.

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ThisSpecial Issue presents the latest advances in research and novel applications of speech and language technologies based on the works presented at the sixth edition of the IberSPEECH conference held in Granada in 2022, paying special attention to those focused on Iberian languages. IberSPEECH is the international conference of the Special Interest Group on Iberian Languages (SIG-IL) of the International Speech Communication Association (ISCA) and the Spanish Thematic Network on Speech Technologies (Red Temática en Tecnologías del Habla, or RTTH for short). Several researchers were invited t

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Alías, Francesc, Antonio Bonafonte, and António Teixeira. "Editorial for Special Issue “IberSPEECH2018: Speech and Language Technologies for Iberian Languages”." Applied Sciences 10, no. 1 (2020): 384. http://dx.doi.org/10.3390/app10010384.

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The main goal of this Special Issue is to present the latest advances in research and novel applications of speech and language technologies based on the works presented at the IberSPEECH edition held in Barcelona in 2018, paying special attention to those focused on Iberian languages. IberSPEECH is the international conference of the Special Interest Group on Iberian Languages (SIG-IL) of the International Speech Communication Association (ISCA) and of the Spanish Thematic Network on Speech Technologies (Red Temática en Tecnologías del Habla, or RTTH for short). Several researchers were invit

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Ademi, Lindita, and Valbon Ademi. "VISUALLY IMPAIRED STUDENTS EDUCATION THROUGH INTELLIGENT TECHNOLOGIES." Knowledge International Journal 28, no. 3 (2018): 1133–38. http://dx.doi.org/10.35120/kij28031133l.

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The problem for developing a TTS (text-to-speech) is a very active field of research. As the Human-Computer Interfaces (HCI) come of age, the need for a more ergonomic and natural interface than the current one (keyboard, mouse, etc.) is being constantly felt. Talking of natural interfaces, what comes to mind, is sound (speech) and sight (vision). These form the basis of many intelligent systems research like robotics. Moreover, speech can also serve as an excellent interface for visually impaired , or people with motor neuron disorders. In this paper we attempt at developing a TTS system for

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McCoy, Kathleen F., John L. Arnott, Leo Ferres, Melanie Fried-Oken, and Brian Roark. "Speech and Language processing as assistive technologies." Computer Speech & Language 27, no. 6 (2013): 1143–46. http://dx.doi.org/10.1016/j.csl.2013.04.005.

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Turdaliyevna, Berdiyeva Barno. "USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LANGUAGE TEACHING." International Journal Of Literature And Languages 4, no. 11 (2024): 35–39. http://dx.doi.org/10.37547/ijll/volume04issue11-08.

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This article examines the role of artificial intelligence (AI) technologies in language teaching, exploring their applications, benefits, and limitations. It provides an overview of how AI-driven tools, such as automated speech recognition systems, adaptive learning platforms, and intelligent feedback mechanisms, enhance linguistic skills like pronunciation, writing, and grammar. The findings highlight measurable improvements in learner outcomes, increased engagement, and the potential for personalized instruction.

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Lou, Lingling, Wei Xu, Ruijia Liu, and Zhonggen Yu. "A Bibliometric Approach and Meta-Analysis of Effects of Automatic Speech Recognition on Second Language Learning." International Journal of Web-Based Learning and Teaching Technologies 19, no. 1 (2024): 1–20. http://dx.doi.org/10.4018/ijwltt.349959.

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Although automatic speech recognition technologies have gained popularity in second language learning, there are still difficulties facing the use of automatic speech recognition in second language learning. Through a bibliometric review and a meta-analysis, this study examines the effects of automatic speech recognition on second language learning. The results of this investigation show that automatic speech recognition technologies can improve second language speaking skills and reduce speaking anxiety, but whether the listening skills can be improved relies on the degree of advancement of t

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Gonzalez-Dios, Itziar, and Begoña Altuna. "Natural Language Processing and Language Technologies for the Basque Language." Cuadernos Europeos de Deusto, no. 04 (July 22, 2022): 203–30. http://dx.doi.org/10.18543/ced.2477.

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The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years. In order to develop advanced systems that are considered the basics for an efficient digital communication (e.g. machine translation systems, text-to-speech and speech-to-text converters and digital assistants), it is necessary to digitalise linguistic resources and create tools. In the case of Basque, scholars have studied the creation of digital linguistic resources

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GAVAT, INGE, ANDREEA GRIPARIS, and SVETLANA SEGARCEANU. "Natural language processing in assistive technologies." Romanian Journal of Technical Sciences - Applied Mechanics 68, no. 2-3 (2023): 129–40. http://dx.doi.org/10.59277/rjts-am.2023.2-3.02.

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Natural language processing expanded in the last 30 years, arising to cover a wide range of applications in various domains, among them assistive technologies, helping people with disabilities due to accidents, aging, or genetic heritance, to enhance their social integration and their daily life. The growing need in assistive techniques has led to the involvement in the usual devices of intelligent modules to improve and facilitate their use, natural language processing attaining nowadays a high applicability in this domain. The paper discusses first basic methodologies involved in natural lan

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Ardiana Topi. "Designing and Optimizing Deep Learning Models for Speech Recognition in the Albanian Language." Journal of Information Systems Engineering and Management 10, no. 15s (2025): 299–318. https://doi.org/10.52783/jisem.v10i15s.2459.

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Recent studies have highlighted the design and optimization of deep learning models tailored for language speech recognition. Utilizing this tool for underrepresented languages, such as Albanian, which features intricate phonetic and syntactic structures and is regarded as a limited resource language, marks a significant step forward in speech recognition technologies within communities that speak it. While highly effective for widely spoken languages like English and Mandarin, languages like Albanian face technological challenges due to insufficient linguistic resources and a lack of research

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Nandhitha M, Vasundhara. "SIGNVISION – A SMART BIDIRECTIONAL SIGN LANGUAGE TRANSLATOR." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04464.

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Abstract: Sign Vision is all-in-one solution for transparent communication by providing instant two-way translation of sign and spoken language. It uses state of the art computer vision, deep learning, and speech processing technologies to understand gestures and convert them into text and speech. Comment It also translates speech into animated sign images. Sign Vision supports several Indian languages and with its accessible interface, it is a versatile tool for communication, useful in public spaces, schools and healthcare settings. Sign Vision consists of multiple integrated modules that ha

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B, Mupini, Chaputsira S, and Sibanda Bk. "Survey on Speech to Text Modelling for the Shona Language." Survey on Speech to Text Modelling for the Shona Language 9, no. 1 (2024): 4. https://doi.org/10.5281/zenodo.10609671.

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Conversion of speech to text (STT) for various applications is of huge interest, which involves technological approaches which are innovative that should be applied to accommodate spoken languages in Africa. However, African countries are falling behind on the embracing of STT technologies, with Automatic Speech Recognition (ASR) having been done for popular East African languages. This has always kept transcription at a minimum and has also resulted in a  retard in the use of many African languages on a world- wide scale, with another problem being that a single  African language ma

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Duraisamy, Premkumar, A. Abinayasrijanani, M. Amrit Candida, and P. Dinesh Babu. "Transforming Sign Language into Text and Speech through Deep Learning Technologies." Indian Journal Of Science And Technology 16, no. 45 (2023): 4177–85. http://dx.doi.org/10.17485/ijst/v16i45.2583.

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Zavyalova, O.I. "Language policy and language resources on the Chinese Internet." East Asia: Facts and Analytics, no. 1 (March 29, 2020): 19–33. https://doi.org/10.24411/2686-7702-2020-10002.

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The language policy and planning in the PRC are represented on various official central and local websites. The annual statistical analysis of Chinese words and characters used online are among the tasks, set by the authorities before the linguists. The technologies, allowing to recognize words within the character texts and to mark them as belonging to a particular part of speech in the isolating syllabic Chinese language are applied within the process of creating numerous text corpora, often accessible on the Web. Speech recognition and speech synthesis technologies based on AI are used in m

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Rashmi Maheshwari, Khushi Anand Singh, Shashank Jayshankar Tiwari, and Anuj Mukesh Mishra. "Sign Speak: Sign Language-To-Speech and Speech-To-Sign Language." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 563–69. https://doi.org/10.47392/irjaeh.2025.0079.

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Exchange of words among the community is one of the essential mediums of survival. Developing a vision-based application that translates sign language into intelligible speech and vice versa is the main goal of our suggested technique [1]. The objective is to establish a link between the hearing and hearing-impaired communities and begin two-way conversation[2].This application presents the Android program that allows blind, deaf, and dumb persons to converse with one another. Utilizing technologies such as TensorFlow Lite for gesture recognition, Flutter for mobile development, and Firebase f

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Bakhtiyor, Tursunbayev. "The Role Of Authentic English Texts In The Development Of Writing Skills." American Journal of Social Science and Education Innovations 03, no. 02 (2021): 122–37. http://dx.doi.org/10.37547/tajssei/volume03issue03-18.

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Today, there is a rapid increase in education, therefore, knowledge of foreign languages has become one of the main problems in monitoring the development of the global information and digital economy in our country. Therefore, to improve the foreign language, various pedagogical technologies and methods of teaching the language are used. We know that oral and written speech skills are skills that can be achieved with great difficulty. This project analyses the development of oral and written speech using pedagogical technologies and teaching text types. Particular attention is paid to the dev

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Pachler, Norbert. "Speech technologies and foreign language teaching and learning." Language Learning Journal 26, no. 1 (2002): 54–61. http://dx.doi.org/10.1080/09571730285200241.

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Kim, Dong‐Jin, Hyung‐Min Park, Harksoo Kim, Seung‐Hoon Na, and Gerard Jounghyun Kim. "Special issue on speech and language AI technologies." ETRI Journal 46, no. 1 (2024): 7–10. http://dx.doi.org/10.4218/etr2.12666.

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Drigas, Athanasios, and Alexia Petrova. "ICTs in Speech and Language Therapy." International Journal of Engineering Pedagogy (iJEP) 4, no. 1 (2014): 49. http://dx.doi.org/10.3991/ijep.v4i1.3280.

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Over the past decade speech and language therapy has taken an interesting turn towards the use of information communication technologies (ICTs) for diagnosis of disorders and delivery of therapy. In many cases ICTs have worked as assistive tools to therapists, while in others as sole providers of therapy, especially in remote areas. In this report we provide a brief overview of the most representative articles for applications and assistive technologies used for assessment and intervention purposes in Speech Therapy according to the type of disorders.

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Chapelle, Carol A., and Yoo-Ree Chung. "The promise of NLP and speech processing technologies in language assessment." Language Testing 27, no. 3 (2010): 301–15. http://dx.doi.org/10.1177/0265532210364405.

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Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of language test item types, relatively little work has been done in this area, and it is therefore not well understood by test developers, researchers or users in language assessment. This paper introduces NLP for language assessment as an area of inquiry and practice by describing the historical roots coming from computational linguistics, statistical NLP, speech recognition and processing technologies

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Phung, Trung-Nghia, Duc-Binh Nguyen, and Ngoc-Phuong Pham. "A Review on Speech Recognition for Under-Resourced Languages." International Journal of Knowledge and Systems Science 15, no. 1 (2023): 1–16. http://dx.doi.org/10.4018/ijkss.332869.

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Fundamental speech recognition technologies for high-resourced languages are currently successful to build high-quality applications with the use of deep learning models. However, the problem of “borrowing” these speech recognition technologies for under-resourced languages like Vietnamese still has challenges. This study reviews fundamental studies on speech recognition in general as well as speech recognition in Vietnamese, an under-resourced language in particular. Then, it specifies the urgent issues that need current research attention to build Vietnamese speech recognition applications i

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Ikechukwu, Onyenwe, Onyedikachukwu Ikechukwu-Onyenwe, Onyedinma Ebele, and Chidinma A. Nwafor. "A Review on Parts-of-Speech Technologies." International Journal of Computer Science & Engineering Survey 13, no. 2 (2022): 1–7. http://dx.doi.org/10.5121/ijcses.2022.13201.

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Developing an automatic parts-of-speech (POS) tagging for any new language is considered a necessary step for further computational linguistics methodology beyond tagging, like chunking and parsing, to be fully applied to the language. Many POS disambiguation technologies have been developed for this type of research and there are factors that influence the choice of choosing one. This could be either corpus-based or non-corpus-based. In this paper, we present a review of POS tagging technologies.

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Ennis, Georgia C. "Affective Technologies." Resonance 1, no. 4 (2020): 376–93. http://dx.doi.org/10.1525/res.2020.1.4.376.

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The ways Amazonian Kichwa (Quichua) women produce, circulate, and engage with other women’s songs demonstrates that both music and radio media are significant methods for linguistic and cultural activism in the province of Napo, Ecuador. Indigenous engagements with aural mediation and media, particularly those of Indigenous women, allow for new insights within both studies of media and cultural revitalization. Media technologies alone may not be enough to return a language to daily use, but they are an important support for language activism and site of soundwork for Indigenous peoples. Focuse

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Mukhamadiarova, Albina Fanilevna. "Formation of German oral speech skills among students of language universities based on corpus technologies." Педагогика и просвещение, no. 1 (January 2024): 147–58. http://dx.doi.org/10.7256/2454-0676.2024.1.70085.

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The purpose of the study is to substantiate the use of corpus technologies in the formation of German oral speech skills. The subject of the study is the process of teaching speaking at a language university. The object of the study is corpus technologies used in the formation of oral speech skills among students of a language university. The article analyzes the grammatical and phonetic phenomena of oral colloquial speech, which can be introduced in German language teaching. Special attention is paid to such phonetic features of oral speech as reduction, elision, and clitic forms of definite

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Sysoyev, Pavel V., and Evgeny M. Filatov. "Chatbots in teaching a foreign language: advantages and controversial issues." Tambov University Review. Series: Humanities, no. 1 (2023): 66–72. http://dx.doi.org/10.20310/1810-0201-2023-28-1-66-72.

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The current stage of technological development of the world community is characterized by the dynamic introduction of artificial intelligence technologies into various spheres of human life. Informatization of education contributed to the integration of new innovative technologies in the teaching of certain subjects, including a foreign language. Chatbots are one of the modern programs that operate on the basis of natural language processing and machine learning technologies, which can be used in the development of students’ foreign language speech skills. By chatbots from the standpoint of th

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Кузнецова and L. Kuznetsova. "Functions of Test Technologies." Modern Communication Studies 4, no. 3 (2015): 56–57. http://dx.doi.org/10.12737/11538.

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Bhardwaj,, Deepanshu. "Translation of English Videos to Indian Regional Languages." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30431.

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In spite of many languages being spoken in India, it is difficult for the people to understand Indian regional languages like English, Gujrati, Kannada, Tamil, Telugu, Punjabi, Malayalam, etc. The recognition and synthesis of speech are prominent emerging technologies in natural language processing and communication domains. This paper aims to leverage the open-source applications of these technologies, machine translation, text-to-speech system (TTS), and speech-to-text system (STT) to convert available online resources to Indian languages. This application takes an English language video as

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Kadirbaeva, R. I., and M. E. Bedebaeva. "Using Blended Learning Technologies through Online Educational Platforms." Iasaýı ýnıversıtetіnіń habarshysy 125, no. 3 (2022): 127–40. http://dx.doi.org/10.47526/2022-3/2664-0686.11.

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The article deals with the problems of overcoming specific violations of written speech in younger schoolchildren studying in the Kazakh language. Based on the analysis of the current state of knowledge of this problem in Kazakhstan and abroad, the authors note the lack of scientific information on the prevalence and nature of dysgraphic errors in Kazakh-speaking children, the lack of knowledge of the specifics of the manifestation of written errors in children in the Kazakh language, associated with the peculiarities of its writing.The analysis of written errors in students of the second–fift

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Heydarova, Maya. "Compiling of Phonetic Database Structure." Path of Science 7, no. 4 (2021): 4001. http://dx.doi.org/10.22178/pos.69-6.

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The voice corpus of language is the essential part of the linguistic resources, and it contains the phonetic database. A phonetic database is a structured collection of software-delivered speech fragments. Nowadays, phonetic database or voice corpus became like a new element in speech technologies, and much investigation has taken place according to this event. The investigators' interest in voice corpus is related to the development of a speech recognition system. Today it is enough to experience in preparation of a phonetic database. Equipped with unique information on the preparation and us

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G.Zh., Tolegenova. "Main Characteristics of Modern Pedagogical Technologies Used in Teaching the Russian Language." International Journal Of Literature And Languages 5, no. 5 (2025): 83–84. https://doi.org/10.37547/ijll/volume05issue05-23.

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The article analyzes modern pedagogical technologies used in teaching the Russian language, such as learner-centered education technologies and technologies aimed at activating and intensifying student activity. It concludes that to help students systematize all the knowledge acquired in the subject and to improve or develop speech skills, teachers need to apply various pedagogical technologies.

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Vindece, Aija, and Svetlana Usca. "USE OF DIGITAL TECHNOLOGIES IN CHILDREN'S SPEECH AND LANGUAGE CORRECTION WORK IN PRESCHOOL." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 4 (May 20, 2020): 166. http://dx.doi.org/10.17770/sie2020vol4.4907.

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In today's society, a child lives in a technology environment since birth, and it changes children's perception and learning habits, determining the necessity to use digital technologies that are interesting for preschool children, motivates them to perform speech and language corrective actions consciously, and enables the development of self-control of speech.The objective of the paper is to stimulate discussion on the possibilities of using digital technologies in the correction of children's speech and language in preschool, based on the analysis of theoretical literature and the availabil

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Makhoul, J., F. Kubala, T. Leek, et al. "Speech and language technologies for audio indexing and retrieval." Proceedings of the IEEE 88, no. 8 (2000): 1338–53. http://dx.doi.org/10.1109/5.880087.

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Alen Thomas, Alen Thomas, Rosu J. Edanad Rosu J Edanad, Sourav J. Raju Sourav J Raju, Suchitra NT Suchitra NT, and Syeatha Merlin Thampy Syeatha Merlin Thampy. "A Comprehensive Review of Speech-ToText Technologies: Incorporating Translation, Summarization, And Beyond." International Journal of Advances in Engineering and Management 06, no. 12 (2024): 164–68. https://doi.org/10.35629/5252-0612164168.

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—Speech-to-text technologies have transformed the way humans interact with computers by allowing spoken lan- guage to be transcribed effortlessly into written form. In addition to transcribing, incorporating translation and summarization features boosts the accessibility and usefulness of speech-to-text systems in various languages and fields. This paper investigates the changing STT technology landscape, focusing on its role in live communication, processing multiple languages, and creat- ing content. The paper emphasizes the possibility of advanced applications in education, business, and ac

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Premkumar, Duraisamy, Abinayasrijanani A, Amrit Candida M, and Dinesh Babu P. "Transforming Sign Language into Text and Speech through Deep Learning Technologies." Indian Journal of Science and Technology 16, no. 45 (2023): 4177–85. https://doi.org/10.17485/IJST/v16i45.2583.

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Abstract <strong>Objective:</strong> The goal of the proposed work is to leverage deep learning technologies to create an efficient and accurate system for transforming sign language into text and speech. People deliver their ideas, feelings, and experiences to others around them via their interactions with each other. The hand gesture plays a significant role since it reflects the user's thoughts more rapidly than other motions (head, face, eye, and body). For deaf-mute people with disabilities, this is still not the case. Sign language facilitates communication among deaf-mute individua

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Tatarinova, Maya N., Olga V. Baykova, Andrey V. Ivanov, Natalia F. Kryukova, and Natalya A. Gruba. "Information and communication technologies in teaching schoolchildren foreign-language monologue speech. Part 2." Perspectives of Science and Education 64, no. 4 (2023): 186–202. http://dx.doi.org/10.32744/pse.2023.4.12.

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The problem for the research. Foreign-language speaking plays an important role in achieving the goals of school teaching foreign languages and establishing international contacts between Russian schoolchildren and their foreign peers. However, students’ oral speech speaking skills, in particular, in the field of monologue speech, are not sufficiently developed. The above sets the task for teachers to find means to increase the effectiveness of teaching schoolchildren foreign-language monologue speech. One of the means is information and communication technologies. Methods of investigation. Ex

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Tatarinova, Maya N., Andrey V. Kazakov, Andrey V. Ivanov, and Rimma A. Ivanova. "Information and communication technologies in teaching schoolchildren foreign-language monologue speech. Part 1." Perspectives of Science and Education 63, no. 3 (2023): 271–87. http://dx.doi.org/10.32744/pse.2023.3.17.

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The problem for the research. Foreign-language speaking plays an important role in achieving the goals of school teaching foreign languages and establishing international contacts between Russian schoolchildren and their foreign peers. However, students’ oral speech speaking skills, in particular, in the field of monologue speech, are not sufficiently developed. The above sets the task for teachers to find means to increase the effectiveness of teaching schoolchildren foreign-language monologue speech. One of the means is information and communication technologies. Methods of investigation. Ex

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Sreelekha, Pallepati, Aedabaina Devi, Kurva Pooja, and S. T. Ramya. "Audio to Sign Language Translator." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3382–84. http://dx.doi.org/10.22214/ijraset.2023.50873.

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Abstract: This project is based on converting the audio signals receiver to text using speech to text API. Speech to text conversion comprises of small, medium and large vocabulary conversions. Such systems process or accept the voice which then gets converted to their respective text. This paper gives a comparative analysis of the technologies used in small, medium, and large vocabulary Speech Recognition System. The comparative study determines the benefits and liabilities of all the approaches so far. The experiment shows the role of language models in improving the accuracy of speech to te

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Dash, Asish. "Speech Technology and Machine Learning for Inclusive Education in Developing Regions." Grazing Minds Journal of Management Innovation and Technology 1, no. 2 (2024): 34–56. https://doi.org/10.5281/zenodo.13329654.

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This mixed-methods study investigated the potential of speech technology and machine learning to enhance inclusive education across rural India, sub-Saharan Africa, and Southeast Asia. A voice-based adaptive learning platform was developed and implemented, revealing significant improvements in language learning (d = 0.58) and basic numeracy (d = 0.42). While speech recognition accuracy varied across languages (WER 26.9%-47.2%), qualitative findings highlighted increased accessibility and cultural relevance. Challenges in infrastructure, teacher training, and policy integration underscore the n

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L.V., Lomakina. "ФОРМУВАННЯ ПРОФЕСІЙНИХ ІНШОМОВНИХ МОВЛЕННЄВИХ КОМПЕТЕНТНОСТЕЙ МАЙБУТНІХ ІНЖЕНЕРІВ". Collection of Research Papers Pedagogical sciences, № 94 (6 травня 2021): 143–50. http://dx.doi.org/10.32999/ksu2413-1865/2021-94-20.

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The article reveals the conceptual approaches to improving the content and organization of professional foreign language teaching in technical higher educational establishments.The purpose of the study is to consider the role of information technology and to determine the psychological and pedagogical conditions in the formation of professional foreign language speech competencies of future technical specialists.Research methods: method of theoretical analysis of normative educational documents and scientific-methodical works on problematic issues of pedagogy teaching methods; synthesis of edu

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Ivanova, Rimma, Andrey Ivanov, and Zhanna Nikonova. "Application of Mobile Technologies in Foreign Language Learners’ Project Activity." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 21 (2020): 64. http://dx.doi.org/10.3991/ijim.v14i21.18471.

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<p class="0abstract">The article analyzes the specific features of project work organization in English classes with blended mobile learning with the participation of students who previously haven't studied foreign languages or had school experience in learning other foreign languages – German or French. The relevance of the proposed work is caused by the application of the project method on the basis of mobile technologies that promotes the development of oral communication skills in the most effective way, taking into account the individual characteristics of the student and allows him

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Davis, Kerry, and Sean Sweeney. "Reading, Writing and AAC: Mobile Technology Strategies for Literacy and Language Development." Perspectives on Augmentative and Alternative Communication 24, no. 1 (2015): 19–25. http://dx.doi.org/10.1044/aac24.1.19.

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Mobile technology (e.g., tablets, smartphones) continues to take public school and overall therapeutic environments by storm. The merging of mobile technology and augmentative and alternative communication (AAC) can be a relatively low-cost solution for individuals with communication impairments. Still, practitioners need to be equipped to make informed decisions about when, how, and why specific mobile technologies and related applications might support a child's language, literacy, and academic skills, possibly in conjunction with AAC. Language and literacy development are a critical aspect

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Ambavane, Pritesh, Rahul Karjavkar, Hemant Pathare, Shubham Relekar, Bhavana Alte, and Neeraj Kumar Sharma. "A Novel Communication System For Deaf And Dumb People using gesture." ITM Web of Conferences 32 (2020): 02003. http://dx.doi.org/10.1051/itmconf/20203202003.

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Human Beings know each other and contact with themselves through thoughts and ideas.The best way to present our idea is through speech. Some people don’t have the power of speech; the only way they communicate with others is through sign language. Now a days technology has reduced the gap through systems which can be used to change the sign language used by these people to speech. Sign language recognition (SLR) and gesture-based control are two major applications used for hand gesture recognition technologies. On the other side the controller converts the sign language in to the text and spee

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G,, Anvith. "Talking Fingers: A Multilingual Speech-to-Sign Language Converter." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40782.

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Communication is a basic human need, but thousands of people with hearing and speech impairments face limitations in everyday communication "Talking Fingers" is a modern assistive technology tool that transfers spoken or written language to Indian Sign Language (ISL). With multilingual capabilities, the tool provides technologies such as Google ML Kit for language recognition, MyMemory API for translation, ISL grammar services for more than one language and several languages accessible at a time Translated ISL will, a it provides a simple and powerful communication channel. The system outlines

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Zhang, Zhehua. "Application of Intelligent Speech Synthesis Technology Assisted by Mobile Intelligent Terminal in Foreign Language Teaching." Mathematical Problems in Engineering 2022 (May 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/9751094.

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In today’s increasingly frequent international exchanges, language ability has been paid more and more attention. However, the current foreign language teaching in some areas lacks a standard external input environment, and the gap between learners’ own ability and the new requirements has not been effectively solved. At present, intelligent speech synthesis technology is mature. It is found that this technology can play a unique advantage in language teaching. Based on this, this study studies the feasibility of the application of intelligent speech synthesis technology in foreign language te

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Soic, Renato, Marin Vukovic, and Gordan Jezic. "Spoken notifications in smart environments using Croatian language." Computer Science and Information Systems, no. 00 (2020): 36. http://dx.doi.org/10.2298/csis200424036s.

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Speech technologies have advanced significantly in the last decade, mostly due to rise in available computing power combined with novel approaches to natural language processing. As a result, speech-enabled systems have become popular commercial products, successfully integrated with various environments. However, this can be stated for English and a few other ?big? languages. From the perspective of a minority language, such as Croatian, there are many challenges ahead to achieve comparable results. In this paper, we propose a model for natural language generation and speech synthesis in a sm

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Yulianto, Diva Surya, and Cindy Taurusta. "Artificial Intelligence Virtual Assistant Using Natural Language Processing Methods." JICTE (Journal of Information and Computer Technology Education) 8, no. 2 (2024): 36–41. https://doi.org/10.21070/jicte.v8i2.1664.

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Virtual assistants are basically a collection of programming languages based on NLP (natural programming languages). Allows users to speak and receive response forms Respond to requests in the same way as people respond ӏаin. NLP is one of them. It focuses on the development of artificial intelligence from a computational linguistics perspective. Data mining, automated voice recognition, text-to-speech and text-to-speech are examples of various forms. The technology is integrated into the Virtuаӏ Assistant (Ӏasek, ND). The computer system runs this virtual assistant program. I use my languag

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NAMƏTOVA, A. Ş. "XARİCİ DİLLƏRİN TƏDRİSİNDƏ MÜASİR METOD VƏ TEXNOLOGİYALAR." Actual Problems of study of humanities 2, no. 2024 (2024): 225–29. http://dx.doi.org/10.62021/0026-0028.2024.2.225.

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Modern Methods and Technologies in Teaching Foreign Languages Summary The article under consideration addresses the theoretical underpinnings of the use of several contemporary teaching methodologies in an English language classroom. Given the inadequate theoretical and methodological advancement of using contemporary methods in an English instruction, the selected study issue is pertinent. Opinions from other scientists are also covered in the article. Key words: Education, foreign language, methods, speech activity, modern technologies

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Зарликов, Икрам. "Mechanisms of formation of speech skills on the basis of media technologies." Актуальные вопросы лингвистики и преподавания иностранных языков: достижения и инновации 1, no. 1 (2024): 274–77. http://dx.doi.org/10.47689/topical-tiltfl-vol1-iss1-2024-pp274-277.

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The expansion of the socio-economic and cultural cooperation of the countries in the world is increasing the interest, need and desire to learn foreign languages, especially English. In the educational system of developed countries, special attention is paid to learning English in accelerated ways from the school period. The development of students' language and speech competences on the basis of media technologies is becoming an urgent issue in teaching English in general education schools. Especially for A1 levels, it has become a priority to acquire the linguistic competence noted in the co

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Meier, B., and J. Leinweber. "Ein Update zu digitalen Interventionen in der Logopädie/Sprachtherapie." Neurologie & Rehabilitation 29, no. 1 (2023): 27–33. http://dx.doi.org/10.14624/nr2301005.

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Due to the COVID-19 pandemic, digitalization in speech language therapy has progressed rapidly. Teletherapy, in particular, has become part of regular speech language therapy, as it has been reimbursed by German health insurance companies since March 2020. At the same time, political innovations such as the E-Health Act (E-Health-Gesetz, 2015), the Act to Improve Healthcare Provision through Digitalization and Innovation (Digital Healthcare Act – DVG, 2019), and the law on digital modernization of healthcare (DVPMG) (2021) offered new opportunities but also generate (future) tasks for speech a

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Kipyatkova, Irina, and Ildar Kagirov. "Deep Models for Low-Resourced Speech Recognition: Livvi-Karelian Case." Mathematics 11, no. 18 (2023): 3814. http://dx.doi.org/10.3390/math11183814.

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Recently, there has been a growth in the number of studies addressing the automatic processing of low-resource languages. The lack of speech and text data significantly hinders the development of speech technologies for such languages. This paper introduces an automatic speech recognition system for Livvi-Karelian. Acoustic models based on artificial neural networks with time delays and hidden Markov models were trained using a limited speech dataset of 3.5 h. To augment the data, pitch and speech rate perturbation, SpecAugment, and their combinations were employed. Language models based on 3-

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Павлюк, Е. С. "Accentuated foreign language training: interdisciplinary AI technologies." Bulletin of Pedagogical Sciences, no. 7 (July 29, 2024): 124–29. http://dx.doi.org/10.62257/2687-1661-2024-7-124-129.

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тотальная «цифровизация» всех сфер жизни и деятельности социально-активного человека сегодня приводит к необходимости вынужденного раннего освоения технологий. С одной стороны, это представляет собой безусловную проблему, так как ведет к раннему снижению показателей здоровья, но с другой стороны является основным двигателем экономик большинства стран мира, которые встали на путь общей тенденции по «цифровизации экономики». Высшая образовательная среда скорее является правилом, нежели исключением. Автором данного исследования была проведена работа по формированию понятия того, что представляет

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