Academic literature on the topic 'Computer-based speech therapy systems'

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Journal articles on the topic "Computer-based speech therapy systems"

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Mirela, Danubianu, and Tobolcea Iolanda. "BRAIN Journal - Modern Tools in Patient-Centred Speech Therapy for Romanian Language." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 1 (2016): 61–73. https://doi.org/10.5281/zenodo.1044237.

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ABSTRACT The most common way to communicate with those around us is speech. Suffering from a speech disorder can have negative social effects: from leaving the individuals with low confidence and moral to problems with social interaction and the ability to live independently like adults. The speech therapy intervention is a complex process having particular objectives such as: discovery and identification of speech disorder and directing the therapy to correction, recovery, compensation, adaptation and social integration of patients. Computer-based Speech Therapy systems are a real help for th
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Attwell, Geertruida Aline, Kwabena Ebo Bennin, and Bedir Tekinerdogan. "A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders." Sensors 22, no. 24 (2022): 9713. http://dx.doi.org/10.3390/s22249713.

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Currently, not all children that need speech therapy have access to a therapist. With the current international shortage of speech–language pathologists (SLPs), there is a demand for online tools to support SLPs with their daily tasks. Several online speech therapy (OST) systems have been designed and proposed in the literature; however, the implementation of these systems is lacking. The technical knowledge that is needed to use these programs is a challenge for SLPs. There has been limited effort to systematically identify, analyze and report the findings of prior studies. We provide the res
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Cavaco, Sofia, Isabel Guimarães, Mariana Ascensão, et al. "The BioVisualSpeech Corpus of Words with Sibilants for Speech Therapy Games Development." Information 11, no. 10 (2020): 470. http://dx.doi.org/10.3390/info11100470.

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In order to develop computer tools for speech therapy that reliably classify speech productions, there is a need for speech production corpora that characterize the target population in terms of age, gender, and native language. Apart from including correct speech productions, in order to characterize the target population, the corpora should also include samples from people with speech sound disorders. In addition, the annotation of the data should include information on the correctness of the speech productions. Following these criteria, we collected a corpus that can be used to develop comp
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Mirela, Danubianu, and Tobolcea Iolanda. "Figure 1. Key issues in speech therapy-Modern Tools in Patient-Centred Speech Therapy for Romanian Language." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 7, no. 1 (2016): 50–60. https://doi.org/10.5281/zenodo.1171329.

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Complex examination provides data regarding social, cognitive and affective parameters, and points out potential general development problems, and articulation or pronunciation problems. Considering the complexity of the possible disorders involved, there is a need for varied therapeutic methods, ranging from synthesis and analysis, to the global therapeutic specific methods and techniques. As a result, in order for the therapist to be able to choose the best technique for a specific case, (s)he needs to have a very good knowledge of all these methods. Irrespective of the methods used, the the
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CRIȘAN, Elena. "The Value of Training Software Systems in Improving Dyslalia in Students with Intellectual Disabilities." Studia Universitatis Babeș-Bolyai Psychologia-Paedagogia 70, no. 1 (2025): 231–48. https://doi.org/10.24193/subbpsyped.2025.1.11.

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The correction of speech and language disorders, in general, stimulates the psychic development of the individual, his integration in activity and life, leads to the affirmation of the personality on a social and cultural level. It must be taken into account that communication occurs through language, language being also a tool of thought. Speech therapists are increasingly challenged in offering and performing high-quality speech therapy for the correction of people with language disorders. For this reason, an association of traditional methods with new logo-therapeutic computer technologies
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ZAHARIA, M. H. "Securing Communication in Ambient Networks for Speech Therapy Systems." Advances in Electrical and Computer Engineering 7, no. 2 (2007): 41–44. http://dx.doi.org/10.4316/aece.2007.02010.

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Morgan, Ruth. "Moving Into the 21st Century With Therapy Documentation." Perspectives on School-Based Issues 14, no. 1 (2013): 4–9. http://dx.doi.org/10.1044/sbi14.1.4.

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Abstract It is very important that speech-language pathologists in the school system make decisions based on evidence-based practice. Because all speech-language pathologists are responsible for collecting data, in this article I will touch on some of the differences in data collection systems with evolving technology and then focus primarily on using Google forms and spreadsheets in the school therapy setting. There are strengths and drawbacks with most of the systems.
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George, Jennifer, and Paul Gnanayutham. "Developing multimedia interfaces for speech therapy." Universal Access in the Information Society 9, no. 2 (2009): 153–67. http://dx.doi.org/10.1007/s10209-009-0161-4.

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Langovaia, T. V. "Marketing Strategies for Promoting Speech Therapy Services." Entrepreneur’s Guide 16, no. 4 (2023): 160–67. http://dx.doi.org/10.24182/2073-9885-2023-16-4-160-167.

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This article presents a comprehensive study of contemporary approaches to promoting speech therapy services, divided into three main directions: digital platforms, community engagement, and referral systems. The study emphasizes that digital platforms are indispensable in today’s informational activities, considering the growing number of digital opportunities for branding and education these platforms offer. Audience engagement focuses on genuine interaction, connecting to local structures such as schools and media, thereby strengthening brand trust and loyalty. Referral systems, based on pro
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Elena V, Zvoleyko. "Actual Problems and Debatable Aspects in the Practice of Training Speech Therapists." Scholarly Notes of Transbaikal State University 15, no. 4 (2020): 56–64. http://dx.doi.org/10.21209/2658-7114-2020-15-4-56-64.

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The process of professional training of future speech therapy teachers is closely related to the state of General and special education systems, focused on achievements in the development of the theory of speech therapy and the realities of practical speech therapy. All the factors the authors have noted make adjustments to the process of training speech therapists, often exposing the problems of their professionalization, generating discussion points in the course of professional training. The article discusses a number of problems that arise in the process of professionalization of future sp
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Dissertations / Theses on the topic "Computer-based speech therapy systems"

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Turnbull, James. "A new computer-based speech therapy tutor for vowel production." Thesis, Abertay University, 1991. https://rke.abertay.ac.uk/en/studentTheses/0245f6d1-368d-41b1-b112-b5a1ffe6ce0b.

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Our primary mode of communication is via speech. Therefore, any person who has difficulty in producing understandable speech, for whatever reason, is at a great disadvantage. It is the role of the speech therapist to help such people to improve their speech production wherever possible. The aim of this work was to develop a computer-based speech therapy tutor for vowel production. The Tutor would be able to analyse monosyllabic utterances in real-time, extract the vowel portion and match this to a pre-determined template, and display the result with no appreciable delay. A fully-working protot
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Dayoub, H. I. "Microcomputer based real-time voice store/replay systems." Thesis, Cardiff University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378914.

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Öster, Anne-Marie. "Computer-based speech therapy using visual feedback with focus on children with profound hearing impairments." Doctoral thesis, KTH, Speech, Music and Hearing, TMH, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4031.

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<p>This thesis presents work in the area of computer-based speech therapy using different types of visual feedback to replace the auditory feedback channel. The study includes diagnostic assessment methods prior to therapy, type of therapy design, and type of visual feedback for different users during different stages of therapy for increasing the efficiency. The thesis focuses on individual computer-based speech therapy (CBST) for profoundly hearing-impaired children as well as for computer-assisted pronunciation training (CAPT) for teaching and training the prosody of a second language. Chil
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Öster, Anne-Marie. "Computer-based speech therapy using visual feedback with focus on children with profound hearing impairments /." Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4031.

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Creech, Wayne E. (Wayne Everette). "The Effectiveness of Speech Recognition as a User Interface for Computer-Based Training." Thesis, University of North Texas, 1995. https://digital.library.unt.edu/ark:/67531/metadc279226/.

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Some researchers are saying that natural language is probably one of the most promising interfaces for use in the long term for simplicity of learning. If this is true, then it follows that speech recognition would be ideal as the interface for computer-based training (CBT). While many speech recognition applications are being used as a means for a computer interface, these are usually confined to controlling the computer or causing the computer to control other devices. The user input or interface has been the recipient of a strong effort to improve the quality of the communication between ma
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Jonsson, Ing-Marie. "Social and Emotional Characteristics of Speech-based In-Vehicle Information Systems : Impact on Attitude and Driving Behaviour." Doctoral thesis, Linköpings universitet, Institutionen för datavetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-51969.

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Modern vehicles use advanced information systems in vehicles to provide and control a wide variety of functions and features. Even modest vehicles today are equipped with systems that control diverse functions from air-conditioning to high quality audio/video systems. Since driving requires the use of eyes and hands, voice interaction has become more widely used by in-vehicle systems. Due to the technical complexity involved in voice recognition, focus has been on issues of speech ecognition. Speech generation is comparatively simple, but what effect does the choice of voice have on the driver
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Abel, Andrew. "Towards an intelligent fuzzy based multimodal two stage speech enhancement system." Thesis, University of Stirling, 2013. http://hdl.handle.net/1893/15989.

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This thesis presents a novel two stage multimodal speech enhancement system, making use of both visual and audio information to filter speech, and explores the extension of this system with the use of fuzzy logic to demonstrate proof of concept for an envisaged autonomous, adaptive, and context aware multimodal system. The design of the proposed cognitively inspired framework is scalable, meaning that it is possible for the techniques used in individual parts of the system to be upgraded and there is scope for the initial framework presented here to be expanded. In the proposed system, the con
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Rajan, Rahul. "Considerate Systems." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/713.

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Recent technological advances have witnessed the rapid encroachment of computing systems into our social spaces. Their acceptance in these social spaces by other occupants, however, might be mostly contingent on their social appropriateness. Notions of social appropriateness might seem vague but even people who don’t act on this commonsense knowledge, and accord to social norms, can sometimes find themselves ostracized from society. It is reflected in behavior that supports a sense of successful engagement and connection. Such behavior communicates a desire to be accepted and a willingness to
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Leon, Barth Carlos. "Phoneme-based video indexing using phonetic disparity search." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4628.

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This dissertation presents and evaluates a method to the video indexing problem by investigating a categorization method that transcribes audio content through Automatic Speech Recognition (ASR) combined with Dynamic Contextualization (DC), Phonetic Disparity Search (PDS) and Metaphone indexation. The suggested approach applies genome pattern matching algorithms with computational summarization to build a database infrastructure that provides an indexed summary of the original audio content. PDS complements the contextual phoneme indexing approach by optimizing topic seek performance and accur
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Thorstensson, Niklas. "A knowledge-based grapheme-to-phoneme conversion for Swedish." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-731.

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<p>A text-to-speech system is a complex system consisting of several different modules such as grapheme-to-phoneme conversion, articulatory and prosodic modelling, voice modelling etc.</p><p>This dissertation is aimed at the creation of the initial part of a text-to-speech system, i.e. the grapheme-to-phoneme conversion, designed for Swedish. The problem area at hand is the conversion of orthographic text into a phonetic representation that can be used as a basis for a future complete text-to speech system.</p><p>The central issue of the dissertation is the grapheme-to-phoneme conversion and t
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Books on the topic "Computer-based speech therapy systems"

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1976-, Aarabi Parham, ed. Phase-based speech processing. World Scientific, 2006.

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Pitt, Ian. Design of speech-based devices: A practical guide. Springer, 2003.

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Jill, Burstein, ed. A review of computer-based speech technology for TOEFL 2000. Educational Testing Service, 1999.

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1959-, Dybkjær Laila, Minker Wolfgang, Neumann Heiko, Pieraccini Roberto, Weber Michael, and SpringerLink (Online service), eds. Perception in Multimodal Dialogue Systems: 4th IEEE Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems, PIT 2008, Kloster Irsee, Germany, June 16-18, 2008. Proceedings. Springer-Verlag Berlin Heidelberg, 2008.

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Zhu, Ce. 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges. Springer New York, 2013.

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Rieser, Verena. Bootstrapping reinforcement learning-based dialogue strategies from wizard-of-oz data. German Research Center for Artificial Intelligence, 2008.

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Rieser, Verena. Bootstrapping reinforcement learning-based dialogue strategies from wizard-of-oz data. German Research Center for Artificial Intelligence, 2008.

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Ystad, Sølvi. Speech, Sound and Music Processing: Embracing Research in India: 8th International Symposium, CMMR 2011, 20th International Symposium, FRSM 2011, Bhubaneswar, India, March 9-12, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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Bizyuk, Aleksandr. Neuropsychology. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1039182.

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The textbook is based on the materials of well-known domestic and foreign manuals on neurology, publications of leading specialists in the field of neuropsychology and related disciplines. It contains basic information on the anatomy of the central nervous system; basic principles and theories that provide an understanding of the laws of the brain; psychological characteristics of symptoms and syndromes that develop in lesions of the cortex and subcortical structures; a brief description of neuropsychological tests and hardware techniques that allow identifying the topic of the lesion.&#x0D; M
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Stanescu, Liana. Creating New Medical Ontologies for Image Annotation: A Case Study. Springer Science+Business Media, LLC, 2012.

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Book chapters on the topic "Computer-based speech therapy systems"

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Kocsor, András, and Dénes Paczolay. "Speech Technologies in a Computer-Aided Speech Therapy System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11788713_91.

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Haas, Jürgen, Florian Gallwitz, Axel Horndasch, Richard Huber, and Volker Warnke. "Telephone-Based Speech Dialog Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11550518_16.

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Novoselov, Sergey, Galina Lavrentyeva, Vladimir Volokhov, Marina Volkova, Nikita Khmelev, and Artem Akulov. "Investigation of Different Calibration Methods for Deep Speaker Embedding Based Verification Systems." In Speech and Computer. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48309-7_13.

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Huang, Yi-Chin, and Cheng-Hung Tsai. "Speech-Based Interface for Embedded Systems." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9190-3_4.

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Fardoun, Habib M., Iyad A. Katib, and Antonio Paules Cipres. "Games-Based Therapy to Stimulate Speech in Children." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48645-0_7.

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Zahariev, Vadim, Elias Azarov, and Alexander Petrovsky. "Voice Conversion for TTS Systems with Tuning on the Target Speaker Based on GMM." In Speech and Computer. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66429-3_79.

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Shchemelinin, Vadim, Mariia Topchina, and Konstantin Simonchik. "Vulnerability of Voice Verification Systems to Spoofing Attacks by TTS Voices Based on Automatically Labeled Telephone Speech." In Speech and Computer. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11581-8_59.

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Nguyen, Vinh D., Anh T. Do, Dinh Khanh Le, and Luong Vuong Nguyen. "Speech Recognition-Based Human–Computer Interaction: A Survey." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1452-3_21.

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Ranjan, Snehal, Sai Kalyan Nanduri, Prakul Virdi, and Chiranjeevi Yarra. "Analysis of Natural Language Understanding Systems with L2 Learner Specific Synthetic Grammatical Errors Based on Parts-of-Speech." In Speech and Computer. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48309-7_36.

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Agarwal, Sarthak, Vaibhav Saxena, Vaibhav Singal, and Swati Aggarwal. "Deep Learning-Based Computer Aided Customization of Speech Therapy." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3067-5_36.

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Conference papers on the topic "Computer-based speech therapy systems"

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Chen, Guotao. "Matlab-Based Speech Signal Design and Processing." In 2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2024. https://doi.org/10.1109/iciscae62304.2024.10761893.

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Hireš, Máté, and Peter Drotar. "Augmented Speech Generalization in Parkinson's Disease Detection." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00089.

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Mendes, Brenda Caroline Santos, Jônata Tyska, and Mateus Grellert. "Interaction Detection in Images of Therapy Sessions with Children with Autism Spectrum Disorder." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00124.

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Rodriguez-Gonzalez, Blanca, Javier Hernandez-Rubia, Borja Rodriguez-Vila, et al. "Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00081.

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Lee, Jihun, Jisun Hong, Daegil Choi, and Jaehyo Jung. "LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00087.

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Li, Hui, and Zhijing Wu. "Algorithm of Part-of-Speech Tagging of Corpus based on HMM Model." In 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC). IEEE, 2024. https://doi.org/10.1109/icdscnc62492.2024.10939572.

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Stell, Anthony, Adam P. Vogel, Jean Paul Vera Soto, Alejandra Abril Pareja, and Richard Sinnott. "A Platform for the Delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00088.

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Zhang, Jianqin. "Research on Artificial Intelligence-Based Computer Vision and Speech Recognition in Intelligent Automation Systems." In 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2024. http://dx.doi.org/10.1109/icipca61593.2024.10709166.

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Schipor, Ovidiuandrei. "IMPROVING COMPUTER ASSISTED SPEECH THERAPY THROUGH SPEECH BASED EMOTION RECOGNITION." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-014.

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Speech therapy consists in a wide range of services whose aim is to prevent, diagnose and treat different types of speech impairments. One of the most important conditions for obtaining favourable and steady results is the "immersing" of the subject as long as possible into therapeutic context: at home, at school/work, on the street. Since nowadays portable computers tend to become habitual accessories, seems a good idea to create virtual versions of human SLTs and to integrate them into these devices. However one of the main distinction between a Speech and Language Therapist (SLT) and a Comp
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Diogo, Mariana, Maxine Eskenazi, Joao Magalhaes, and Sofia Cavaco. "Robust scoring of voice exercises in computer-based speech therapy systems." In 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, 2016. http://dx.doi.org/10.1109/eusipco.2016.7760277.

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Reports on the topic "Computer-based speech therapy systems"

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Tidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing
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