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Journal articles on the topic 'Medical speech'

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1

McKaig, T. Neil, Robert M. Miller, and Michael E. Groher. "Medical Speech Pathology." Perspectives on Swallowing and Swallowing Disorders (Dysphagia) 7, no. 4 (1998): 20. http://dx.doi.org/10.1044/sasd7.4.20.

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2

Mahidhar, B. V. S., and R. J. Poovaraghan. "Medical Transcription Using Speech Recognizer." International Journal of MC Square Scientific Research 9, no. 1 (2017): 274–79. http://dx.doi.org/10.20894/ijmsr.117.009.001.032.

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3

Huseynova, Naila. "MEDICAL STUDY OF SPEECH DISORDERS." Baltic Journal of Legal and Social Sciences, no. 1 (April 18, 2024): 123–28. http://dx.doi.org/10.30525/2592-8813-2024-1-13.

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Abstract. Speech is one of the most important mental functions of a person. Speech communication not only creates social relations between people, but also develops higher forms of cognitive activity. Speech and thinking are inextricably linked. Speech is also a very complex phenomenon and is a set of several processes. Almost all systems of the body: muscles, bones, various and numerous organs, especially the central nervous system, take an active part in its formation. More serious damage to the muscles occurs as a result of damage to the parts of the peripheral parts of the nervous system t
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Bakan, J., B. Lanphear, and J. D. Sargent. "Medical Journals and Free Speech." PEDIATRICS 135, no. 3 (2015): 403–5. http://dx.doi.org/10.1542/peds.2014-2789.

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5

Plushitzer, A. "Bad speech in the medical press." Kazan medical journal 32, no. 8-9 (2021): 780–81. http://dx.doi.org/10.17816/kazmj81477.

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We are forced to dwell on several works, placed in I and II "collections of Kazan clinics of diseases of the nose, throat and ears for 1931, demonstrating bad turns of speech. For some reason, the editor and publisher were stingy with words and called the collection of Kazan clinics instead of calling it a collection of scientific papers. But this, for example, is their business.
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6

McDougle, Leon. "National Medical Association President Installation Speech." Journal of the National Medical Association 112, no. 5 (2020): S5—S7. http://dx.doi.org/10.1016/j.jnma.2020.10.004.

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7

Czyzewski, Andrzej. "Optimizing medical personnel speech recognition models using speech synthesis and reinforcement learning." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A202—A203. http://dx.doi.org/10.1121/10.0023271.

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Text-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons. Speech can be synthesized by mimicking different accents, dialects, and speaking styles in a medical language. Reinforcement Learning (RL), in the context of ASR, can be used to optimize a model. A model can be trained to minimize errors in speech-to-text transcription, especially for technical medical terminology. In this case, the “reward” to the RL model can
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Murali, Sushmitha, Prakash Boominathan, and Shenbagavalli Mahalingam. "Speech Intelligibility and Speech Naturalness while Speaking with and without Medical Mask." Journal of Indian Speech Language & Hearing Association 37, no. 2 (2023): 51–60. http://dx.doi.org/10.4103/jisha.jisha_15_23.

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Introduction: The COVID-19 situation has led to an increase use of medical mask for protection. Facial and respiratory PPE covering the mouth and nose have been reported to diminish Speech Intelligibility. Altering the volume, rate and volume and rate together may contribute to influencing the speech intelligibility and speech naturalness rating. Therefore, identifying the appropriate method to speak with medical mask can help train people to communicate with mask. This study aimed to (1) analyse effects of wearing masks on speech intelligibility, naturalness and comprehensibility, and (2) doc
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Kane, Pushkar. "Attention-based Speech Emotion Recognition Approach for Medical Application." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 3863–71. http://dx.doi.org/10.22214/ijraset.2023.52422.

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Abstract: Presently AI is used in various medical fields. Mental health is an important part of the overall health of a person and speech is the primary form for expression of emotion. Thus, Speech Emotion Recognition can be used to understand emotions of the person and help doctors focus on the cure. Speech Emotion recognition is analysis and classification of speech signals to detect the underlying emotions. This paper proposes a model for speech emotion recognition using an attention mechanism. The model is developed using Mel-frequency cepstral coefficients (MFCCs), and a combination of 2D
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Babych, N. M. "Articulation dyspraxia in children with speech disorders: speech therapy and medical aspects." Science and Education a New Dimension VI(180), no. 74 (2018): 7–11. http://dx.doi.org/10.31174/send-pp2018-180vi74-01.

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11

DINEA COCEAN, MADALINA ELENA, ANDREEA GRIPARIS, and INGE GAVAT. "Using speech recognition to create medical reports." Romanian Journal of Technical Sciences - Applied Mechanics 69, no. 2-3 (2024): 157–66. https://doi.org/10.59277/rjts-am.2024.2-3.04.

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Doctors spend about half of their time doing the paperwork and writing medical reports. The use of speech recognition in the creation of medical transcription applications aims to ease the work of medical professionals, freeing them from writing reports. Moreover, these reports contain a larger volume of information, with more details included, the information being added while the doctor examines the patient in the case of a medical consultation, respectively while analyzing the images obtained in the case of a medical investigation. Medical transcription solutions reduce the time needed to c
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12

Gartner-Schmidt, Jackie. "Medical Speech-Language Pathology: A Practitioner's Guide." Laryngoscope 117, no. 4 (2007): 762. http://dx.doi.org/10.1097/mlg.0b013e3180318b29.

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13

Saigusa, Hideto. "Medical Measures for Motor Speech Disorders (Dysarthria)." Japan Journal of Logopedics and Phoniatrics 61, no. 1 (2020): 1–10. http://dx.doi.org/10.5112/jjlp.61.1.

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14

Tuychiyevna, Razikova Lola. "Features of the Speech Portrait of a Modern Medical Student." European Journal of Medical Genetics and Clinical Biology 1, no. 1 (2023): 27–32. http://dx.doi.org/10.61796/jmgcb.v1i1.63.

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The article is devoted to the study of the features of the speech portrait of a modern medical student. The article analyzes the lexicon of students of a medical university, an attempt is made to describe a collective speech portrait that characterizes the specifics of the future doctor's speech at the lexical and phraseological levels.
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Lin, Yu-Min, Ji-Yan Han, Wei-Zhong Zheng, Yi-Chieh Lin, Cheng-Hung Lin, and Ying-Hui Lai. "Study of optical-based speech acquisition system using vibration signals from speakers' medical masks." JASA Express Letters 2, no. 5 (2022): 055202. http://dx.doi.org/10.1121/10.0010491.

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Medical masks have become necessary of late because of the COVID-19 outbreak; however, they tend to attenuate the energy of speech signals and affect speech quality. Therefore, this study proposes an optical-based microphone approach to obtain speech signals from speakers' medical masks. Experimental results showed that the optical-based microphone approach achieved better performance (85.61%) than the two baseline approaches, namely, omnidirectional (24.17%) and directional microphones (31.65%), in the case of long-distance speech and background noise. The results suggest that the optical-bas
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Yorova, Sayora Karimovna. "THE LINGUISTIC ENVIRONMENT IN THE FIELD OF MEDICAL COMMUNICATIONS." EURASIAN JOURNAL OF ACADEMIC RESEARCH 2, no. 2 (2022): 143–47. https://doi.org/10.5281/zenodo.6105628.

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17

Homonyuk, Olena, and Natalia Avramenko. "Foreign Experience in Mastering Medical Professional Terminology by Foreign Students at Medical Universities." Comparative Professional Pedagogy 7, no. 4 (2017): 32–38. http://dx.doi.org/10.1515/rpp-2017-0047.

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Abstract Professional broadcasting of future medical foreign workers in the medical sector is a compulsory component of their professional readiness. The diversity of professional broadcasting functions of foreign students, the skillful use of the entire range of speech functionality, its external expressive attributability of speech; these are the most important means of medical skills, which are achieved by training at preparatory faculties. The purpose, principles, approaches, content and structure of the program that realize the concept of Ukrainian-language training of foreign citizens in
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18

Ponomarenko, Elena A., and Olga A. Chureyeva. "Speech genres of accusation and reproach in the doctor’s speech behavior." International Journal “Speech Genres” 17, no. 1 (2022): 21–27. http://dx.doi.org/10.18500/2311-0740-2022-17-1-33-21-27.

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The issue raised in this study touches upon different aspects related to expression of negative judgment in medical discourse. This issue lies within the boundaries of speech genre theory. The authors use analysis tools of such disciplines as functional linguistics, medical rhetoric and elocutary mastery. The comparison of accusation and reproach – two related to each other speech genres of expressing disapproval – is made in the introduction to the article. Lexicographic sources allowed to reveal essential semantic peculiarities of these genres. The authors have found that the most frequent m
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19

Ponomarenko, Elena A. "From medical dialogue to existential conflict: The dynamics of speech genres in A. P. Chekhov “Enemies”." International Journal “Speech Genres” 18, no. 2 (38) (2023): 138–45. http://dx.doi.org/10.18500/2311-0740-2023-18-2-38-138-145.

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The article presents the analysis of the chains of speech genres in A. P. Chekhov’s short story “Enemies”. It is argued that the speech genres which formalize the social relationships of the main characters of the story lead to an understanding of the concept of the work, as well as reveal the essence of the title of the story. It is noted that the verbal interaction of the main characters of the narrative is a system of interconnected speech genres. The article describes the speech genres that have developed in the context of the situation of verbal communication between a doctor and a patien
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20

Zuchowski, Matthias, and Aydan Göller. "Speech recognition for medical documentation: an analysis of time, cost efficiency and acceptance in a clinical setting." British Journal of Healthcare Management 28, no. 1 (2022): 30–36. http://dx.doi.org/10.12968/bjhc.2021.0074.

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Background/Aims Medical documentation is an important and unavoidable part of a health professional's working day. However, the time required for medical documentation is often viewed negatively, particularly by clinicians with heavy workloads. Digital speech recognition has become more prevalent and is being used to optimise working time. This study evaluated the time and cost savings associated with speech recognition technology, and its potential for improving healthcare processes. Methods Clinicians were directly observed while completing medical documentation. A total of 313 samples were
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21

HU, Kushal, Kethu Yashaswi, Patil Chanchal Vinod, and Meghana G. "Speech to Speech Translation with Response Suggestion (English-Hindi)." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 933–36. http://dx.doi.org/10.22214/ijraset.2022.40721.

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Abstract: Language barriers are becoming more common in primary care as a result of the surge in international migration. People who do not speak the same language will be able to converse in real-time using natural spoken language thanks to this technology. It can assist in overcoming linguistic hurdles as well as having more effective communications. We can also reply rapidly as a result of it. Medical researchers must translate their findings into several languages, with international tribunals and regional blocs such as the EU requiring particularly stringent translations.
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22

Xia, Xin, Yunlong Ma, Ye Luo, and Jianwei Lu. "An online intelligent electronic medical record system via speech recognition." International Journal of Distributed Sensor Networks 18, no. 11 (2022): 155013292211344. http://dx.doi.org/10.1177/15501329221134479.

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Traditional electronic medical record systems in hospitals rely on healthcare workers to manually enter patient information, resulting in healthcare workers having to spend a significant amount of time each day filling out electronic medical records. This inefficient interaction seriously affects the communication between doctors and patients and reduces the speed at which doctors can diagnose patients’ conditions. The rapid development of deep learning–based speech recognition technology promises to improve this situation. In this work, we build an online electronic medical record system base
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23

Satterfield, Lisa. "Medicare Clarifies Manual Medical Review." ASHA Leader 18, no. 5 (2013): 20–21. http://dx.doi.org/10.1044/leader.pa2.18052013.20.

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24

Akhmedova, U. E. "Improving The Effectiveness Of Writing Development Of Medical Students In The Russian Language Classes." American Journal of Social Science and Education Innovations 03, no. 05 (2021): 306–10. http://dx.doi.org/10.37547/tajssei/volume03issue05-55.

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This article provides information that medical students in the process of learning mastered several foreign languages, especially one of the greatest languages - Russian. Students of medical universities should pay special attention not only to oral speech, but also to the development of written speech. Their professional activities are reflected in writing, so they must write competently, perform various types of written work that activate mental activity and increase the literacy of medical students.
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25

Zinin, Sergei Valerevich. "Determining the Total Number of Endocrine Disorders Among Children With Speech Disorders: Social and Dispatching Work." Development of education, no. 2 (8) (June 10, 2020): 26–31. http://dx.doi.org/10.31483/r-74924.

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The article is devoted to determining the total number of endocrine disorders of the thyroid gland among children with speech disorders based on medical ultrasound data. The author of the article outlines that due to the fact that the prevalence of speech disorders is 100% among children with hypothyroidism, the following question deserves attention: “How many endocrine disorders can occur in children with speech disorders?”. Methods of research. Within the framework of the social and dispatching work of specialists of the psychological-medical-pedagogical commission, the referral of children
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26

Gnanamanickam, Jenifa, Yuvaraj Natarajan, and Sri Preethaa K. R. "A Hybrid Speech Enhancement Algorithm for Voice Assistance Application." Sensors 21, no. 21 (2021): 7025. http://dx.doi.org/10.3390/s21217025.

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In recent years, speech recognition technology has become a more common notion. Speech quality and intelligibility are critical for the convenience and accuracy of information transmission in speech recognition. The speech processing systems used to converse or store speech are usually designed for an environment without any background noise. However, in a real-world atmosphere, background intervention in the form of background noise and channel noise drastically reduces the performance of speech recognition systems, resulting in imprecise information transfer and exhausting the listener. When
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27

Levina, Ekaterina Nikolaevna, and Anastasia Mikhailovna Frolova. "Teaching foreign medical students strategies for conducting professional dialogue with questioning in Russian taking into account the patient’s communicative and speech profile." Philology. Theory & Practice 18, no. 1 (2025): 345–52. https://doi.org/10.30853/phil20250051.

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The study aims to describe the strategies for conducting professional medical dialogue with questioning necessary for international medical students during clinical practice. The article considers the classification of types of speech behavior of patients, presented in the scientific works of Russian and foreign researchers, reveals the essence of the concept of the “communicative and speech profile of the patient”. The work describes the strategies for conducting professional medical dialogue with questioning necessary for foreign medical students during clinical practice. The stages of worki
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28

Sejati, Amanda Puspanditaning, Dedah Ningrum, Heri Ridwan, and Sifa Rini Handayani. "Perlocutionary Speech Act of Conveying Bad News in Medical Communication." Journal of Language and Literature 24, no. 1 (2024): 279–89. http://dx.doi.org/10.24071/joll.v24i1.7122.

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Conveying bad news in the medical field, can present a challenging scenario as it tends to evoke emotional responses such as sadness, anxiety, and anger in the recipients. Essentially, this communication scenario holds the potential to impact the recipient, aligning with the concept of perlocutionary speech acts. Research into perlocutionary speech acts in the context of delivering adverse news within medical communication has not been extensively explored. This study aims to provide an overview of perlocutionary speech acts observed in delivering bad news within a medical context, as depicted
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Sokolova, Alina Yurievna. "Medical discourse: Extent and content of the concept." Philology. Theory & Practice 18, no. 1 (2025): 23–28. https://doi.org/10.30853/phil20250004.

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Communicative interaction in the field of medicine is one of the main factors that have a significant impact on the process and outcome of treatment. In medicine, there are various manifestations of speech interaction, some of which have discursive features, the others are introduced in the form of a text. The purpose of this study is to differentiate the types of speech interaction in the field of medical communication based on the specified scope and content of the concept "discourse". The scientific novelty of the research lies in the fact that the work formulates a distinctive property of
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Ruslanovna, Dzugaeva Zarina. "Development of professional speech culture of medical students." ACADEMICIA: An International Multidisciplinary Research Journal 10, no. 6 (2020): 413. http://dx.doi.org/10.5958/2249-7137.2020.00633.3.

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31

Susanthi, I. Gusti Ayu Agung Dian, Ketut Artawa, Ida Bagus Putra Yadnya, and Made Sri Satyawati. "Speech Act Taking Place in the Medical Conversation." International Linguistics Research 2, no. 2 (2019): p29. http://dx.doi.org/10.30560/ilr.v2n2p29.

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This study aims at analyzing the maxims in the five categories of speech act on medical conversation of textbook entitled “English for midwives: Practical Guidance For Antenatal care”. The objectives are: (1) To find out the categories of speech act on the medical conversation, (2) To analyze the intended meaning of the speaker, (3) To analyze the cooperative principle that must be concerned on the conversation. There are some theories applied in this study, namely the theory of Speech Act, theory of context of situation, the maxim theory. The result shows that there are three categories of sp
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32

Mönnich, G., and T. Wetter. "Requirements for Speech Recognition to Support Medical Documentation." Methods of Information in Medicine 39, no. 01 (2000): 63–69. http://dx.doi.org/10.1055/s-0038-1634252.

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Abstract:Recent advances in the development of automated speech recognition (ASR) have made routine applications for medical documentation possible. To achieve this, ASR has to be optimally integrated into the specific documentation scenario. The classification presented in this paper allows the definition of specification requirements. For two different documentation scenarios the appropriate product selection has been done according to this classification. Two evaluation studies are presented, addressing the usefulness of applying automated speech recognition.
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33

Heritage, John. "Body Movement and Speech in Medical Interaction (Book)." Sociology of Health and Illness 10, no. 2 (1988): 203–5. http://dx.doi.org/10.1111/1467-9566.ep11340045.

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34

Turovska, Iryna. "PROFESSIONAL SPEECH COMPETENCE AS A COMPONENT OF PROFESSIONAL COMPETENCE MEDICAL PROFILE SPECIALIST." Collection of Scientific Papers of Uman State Pedagogical University, no. 4 (October 27, 2022): 39–44. http://dx.doi.org/10.31499/2307-4906.4.2022.270286.

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The article reveals the essence of professional speech competence as a component of the professional competence of a medical specialist. The scientific literature on the research topic was analyzed, which made it possible to draw a conclusion about the need for an active search for effective technologies, scientific research on the outlined problem. It was determined that professional competence is a complex system formation, one of the components of which is professional speech competence, the level of which largely depends on the effectiveness of performing tasks of professional activity, th
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35

Wulfman, C. E., M. Rua, C. D. Lane, E. H. Shortliffe, and L. M. Fagan. "Graphical Access to Medical Expert Systems: V. Integration with Continuous-Speech Recognition." Methods of Information in Medicine 32, no. 01 (1993): 33–46. http://dx.doi.org/10.1055/s-0038-1634892.

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Abstract:This paper describes three prototypes of computer-based clinical record-keeping tools that use a combination of window-based graphics and continuous speech in their user interfaces. Although many of today’s commercial speech-recognition products achieve high rates of accuracy for large grammars (vocabularies of words or collections of sentences and phrases), they can only “listen for” (and therefore recognize) a limited number of words or phrases at a time. When a speech application requires a grammar whose size exceeds a speech-recognition product’s limits, the application designer m
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Karbasi, Zahra, Kambiz Bahaadinbeigy, Leila Ahmadian, Reza Khajouei, and Moghaddameh Mirzaee. "Accuracy of Speech Recognition System’s Medical Report and Physicians' Experience in Hospitals." Frontiers in Health Informatics 8, no. 1 (2019): 19. http://dx.doi.org/10.30699/fhi.v8i1.199.

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Introduction: Speech recognition(SR) technology has been existing for more than two decades. But, it has been rarely used in health care institutions and not applied uniformly in all the clinical domains. The aim of this study was to investigate the accuracy of speech recognition system in four different situations in the real environment of health services. We also report physicians' experience of using speech recognition technology.Method:. To do this study, NEVISA SR software professional v.3 was installed on the computers of expert physicians. The pre-designated medical report was tested b
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Popadyuk, V. I., I. M. Kirichenko, and G. G. Gusenbekov. "Peculiarities of speech perception and intelligibility of students of medical educational institutions studying in Russian." Meditsinskiy sovet = Medical Council, no. 23 (January 24, 2025): 273–80. https://doi.org/10.21518/ms2024-500.

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The speech function is a human-only feature. It provides communication and serves as the main source of new information in the social environment, both in communication and in training, regardless of gender, age groups and the level of training of medical students. When perceiving speech for students studying in a non-native language, good intelligibility is important, which ensures a correct understanding of words, and therefore the completeness of the information received. Speech audiometry in noise using polysyllabic phrases in students studying in a foreign language can reveal an insuffici
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38

Halpin, Sean. "USING DISCURSIVE PSYCHOLOGY TO EXAMINE PATIENT MEDICAL EDUCATION." Innovation in Aging 8, Supplement_1 (2024): 304. https://doi.org/10.1093/geroni/igae098.0992.

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Abstract Patient-centered care is facilitated by succinct medical information delivered by nurse patient-educators. However, navigating the array of treatment options poses challenges, especially for patients with complex and co-morbid conditions, such as older adults with multiple myeloma. In the current study, I applied discursive psychology to analyze speech patterns in 12 education visits (1011 minutes of audio) conducted by three nurses. Patients had a median age of 65 (IQR- 54-75), were mostly white (75%), and split between male and female. I identified two overarching speech strategies
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Sogani, Priyanka Anil, Prof Prashantkumar M. Gavali, and ,Prof Mrs S. S. Sangewar. "Smart Voice Based Medical Chatbot for Disease Prediction." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–3. http://dx.doi.org/10.55041/ijsrem37096.

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The global shortage of medical resources has intensified in recent years, exacerbated by a growing and aging population, particularly following the pandemic. However, advancements in robotics and artificial intelligence have empowered healthcare professionals to address these challenges. Intelligent Speech Technology (IST) is one such innovation that has helped doctors and patients enhance medical efficiency and reduce cumbersome tasks. Despite this, complex hospital environments with background noise and variations in patient pronunciation have limited IST's broader application. Yet, as machi
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40

Karic, Jasmina, Sinisa Ristic, Snezana Medenica, Vaska Tadic, and Svetlana Slavnic. "Reading characteristics of deaf and hard-of-hearing pupils." Vojnosanitetski pregled 69, no. 10 (2012): 846–51. http://dx.doi.org/10.2298/vsp1210846k.

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Background/Aim. Speech motor mechanisms play a crucial role in the process of demutization, due to the fact that they cover all the elements of the successive development of spech production movements leading to speech formation (socalled kinesthesia in speach). The aim of this study was to estimate the impact of perceptual motor actions on the cognitive process of reading in 130 students in regular schools and schools for the deaf and hard-of-hearing children in the Republic of Serbia. Methods. Kostic and Vladisavljevic test consisted of the ten levels weight was used for the assessment of re
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41

Shaw, Gina. "Preventing Medical Errors." Hearing Journal 67, no. 7 (2014): 11. http://dx.doi.org/10.1097/01.hj.0000452244.07451.64.

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42

Lutfullina, Gulnara Firdavisovna, and Svetlana Anatolievna Eremeeva. "Linguistic representation of the speech genre of explanation in medical discourse within the framework of a television educational programme (by the example of the programme “Med. expert”)." Philology. Issues of Theory and Practice 16, no. 10 (2023): 3351–56. http://dx.doi.org/10.30853/phil20230519.

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The paper analysed the speech genre of explanation often implemented as a popular scientific description of a disease within the framework of the television genre of educational transmission of medical topics, that is, the researchers consider medical discourse. The aim of the study is to identify the differential features of explanation as a speech genre based on the material of television medical discourse. The study is novel in that it is the first to highlight the linguistic features that define the speech genre of explanation. As a result, it has been revealed that in the medical discours
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43

Kostek, Bozena. "Enunciation—An important factor in speech-to-text medical transcription systems." Journal of the Acoustical Society of America 156, no. 4_Supplement (2024): A126. https://doi.org/10.1121/10.0035339.

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This study aims to explore the extent to which enunciation plays a crucial role in a speech-to-text (STT) system, especially when dealing with medical terminology. To achieve this, an audio dataset was recorded containing Polish medical terms and spoken diagnoses pronounced by healthcare professionals, including general practitioners and specialists in various fields such as cardiology, pulmonology, and radiology. The next step involved comprehensive acoustical and lexical analyses of the audio recordings. Features such as harmonic-to-noise ratio, spectral tilt, zero-crossing rate, formant dis
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44

Rasulova, Dilbar Kamoliddinovna. "SPEECH EMBOLI IN THE CLINIC OF POST-STROKE SPEECH DISORDERS." Journal of neurology and neurosergery 3, no. 6 (2022): 3. https://doi.org/10.5281/zenodo.7462686.

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In oral speech, one-quarter of stroke patients may experience speech emboli. Embolism (embolophrasia), being a speech stereotype, is usually observed in patients with a severe degree of Broccian afferent aphasia. In 2017-2022, more than 300 stroke patients were treated at the Department of Neurology and Intensive Neurology of the Tashkent Medical Academy, among them 7 (3 men and 4 women) patients had speech emboli. Embolophrasia has an uncontrolled obsessive nature and the patient cannot get rid of it on his own. In order to prevent speech emboli, basic speech therapy sessions with a speech th
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Bastos Cordeiro, Bianca, Marcos Roberto Banhara, Carlos Maurício Cardeal Mendes, et al. "Adult Users of the Oticon Medical Neuro Cochlear Implant System Benefit from Beamforming in the High Frequencies." Audiology Research 11, no. 2 (2021): 179–91. http://dx.doi.org/10.3390/audiolres11020016.

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The Oticon Medical Neuro cochlear implant system includes the modes Opti Omni and Speech Omni, the latter providing beamforming (i.e., directional selectivity) in the high frequencies. Two studies compared sentence identification scores of adult cochlear implant users with Opti Omni and Speech Omni. In Study 1, a double-blind longitudinal crossover study, 12 new users trialed Opti Omni or Speech Omni (random allocation) for three months, and their sentence identification in quiet and noise (+10 dB signal-to-noise ratio) with the trialed mode were measured. The same procedure was repeated for t
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Shklovsky, V. M., S. A. Varlamov, A. G. Petrushevsky, and L. A. Mayorova. "Speech and Non-Speech Sound Categorization in Auditory Cortex: fMRI Correlates." Human Physiology 45, no. 6 (2019): 577–86. http://dx.doi.org/10.1134/s0362119719060124.

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Nayak, Mohit, Jari Kangas, and Roope Raisamo. "A Study of NLP-Based Speech Interfaces in Medical Virtual Reality." Multimodal Technologies and Interaction 9, no. 6 (2025): 50. https://doi.org/10.3390/mti9060050.

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Applications of virtual reality (VR) have grown in significance in medicine, as they are able to recreate real-life scenarios in 3D while posing reduced risks to patients. However, there are several interaction challenges to overcome when moving from 2D screens to 3D VR environments, such as complex controls and slow user adaptation. More intuitive techniques are needed for enhanced user experience. Our research explored the potential of intelligent speech interfaces to enhance user interaction while conducting complex medical tasks. We developed a speech-based assistant within a VR applicatio
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Fur, Ekaterina Petrovna, Nataliya Alexandrovna Kuz, and Sergei Borisovich Yakovlev. "Speech therapy support for the development of the syntactic component of language ability in grade schoolers with severe speech disorders." Pedagogy. Issues of Theory and Practice 8, no. 9 (2023): 942–51. http://dx.doi.org/10.30853/ped20230138.

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The research aims to substantiate the need to identify the features of the formation of the syntactic component of language ability in grade schoolers with severe speech disorders. The paper deals with both theoretical and practical issues of the development of syntactic operations in grade schoolers with severe speech disorders: its level organization is presented (the conceptual, semantic levels, the level of formal grammatical structuring); the features of disorders in 3rd-grade and 4th-grade students with dysarthria and motor alalia are described at each level according to the results of t
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Rosdiana, Ika Rosdiana, Tanti ajoe Kesoema, Henny Rio, and Dinar Widanarti. "A Speech Delay in Children: Effects of Parents' Education Level and Risk Factors." Indonesian Journal of Physical Medicine and Rehabilitation 13, no. 2 (2024): 88–99. https://doi.org/10.36803/indojpmr.v13i2.411.

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ABSTRACT Introduction : Speech delay is defined as when a child is difficult to understand compared to his or her age, or characterized by a pattern of speech error sounds that are inappropriate for children his age. Children with speech delays have a higher risk of experiencing social, emotional, behavioral, and cognitive problems in adulthood. Previous research has shown that between 2.3% and 19% of children aged 2-7 years are estimated to have speech delays. The purpose of this study was to look at the effect between parents' education level on speech delay in children and to analyze risk f
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Shimizu, Akira, and Tsuyoshi Inoue. "Dreamed Speech and Speech Muscle Activity." Psychophysiology 23, no. 2 (1986): 210–14. http://dx.doi.org/10.1111/j.1469-8986.1986.tb00620.x.

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