Thematische Bibliographien / Automatic diagnosis of speech disorder

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Automatic diagnosis of speech disorder“

Autor: Grafiati
Veröffentlicht am 28. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Automatic diagnosis of speech disorder"

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Zhang, Yu, Jing Zhang, Wen Li, Heng Yin, and Ling He. "Automatic Detection System for Velopharyngeal Insufficiency Based on Acoustic Signals from Nasal and Oral Channels." Diagnostics 13, no. 16 (2023): 2714. http://dx.doi.org/10.3390/diagnostics13162714.

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Velopharyngeal insufficiency (VPI) is a type of pharyngeal function dysfunction that causes speech impairment and swallowing disorder. Speech therapists play a key role on the diagnosis and treatment of speech disorders. However, there is a worldwide shortage of experienced speech therapists. Artificial intelligence-based computer-aided diagnosing technology could be a solution for this. This paper proposes an automatic system for VPI detection at the subject level. It is a non-invasive and convenient approach for VPI diagnosis. Based on the principle of impaired articulation of VPI patients,
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Nik Hashim, Nik Nur Wahidah, Nadzirah Ahmad Basri, Mugahed Al-Ezzi Ahmad Ezzi, and Nik Mohd Hazrul Nik Hashim. "Comparison of classifiers using robust features for depression detection on Bahasa Malaysia speech." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (2022): 238. http://dx.doi.org/10.11591/ijai.v11.i1.pp238-253.

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Early detection of depression allows rapid intervention and reduce the escalation of the disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a trained clinician. Bio-sensors technology such as automatic depression detection using speech can be used to assist early diagnosis for detecting remotely those who are at risk. In this research, we focus on detecting depression using Bahasa Malaysia language using speech signals that are recorded remotely via subject’s personal mobile devices. Speech recordings from a total of 43 depressed subjects and 47 healthy
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Nik, Nur Wahidah Nik Hashim, Ahmad Basri Nadzirah, Al-Ezzi Ahmad Ezzi Mugahed, and Mohd Hazrul Nik Hashim Nik. "Comparison of classifiers using robust features for depression detection on Bahasa Malaysia speech." International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (2022): 238–53. https://doi.org/10.11591/ijai.v11.i1.pp238-253.

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Early detection of depression allows rapid intervention and reduce the escalation of the disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a trained clinician. Bio-sensors technology such as automatic depression detection using speech can be used to assist early diagnosis for detecting remotely those who are at risk. In this research, we focus on detecting depression using Bahasa Malaysia language using speech signals that are recorded remotely via subject’s personal mobile devices. Speech recordings from a total of 43 depressed subjects and 47 he
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Sarria Paja, Milton Orlando. "Automatic detection of Parkinson's disease from components of modulators in speech signals." Computer and Electronic Sciences: Theory and Applications 1, no. 1 (2020): 71–82. http://dx.doi.org/10.17981/cesta.01.01.2020.05.

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Parkinson's disease (PD) is the second most common neurodegenerative disorder after Alzheimer's disease. This disorder mainly affects older adults at a rate of about 2%, and about 89% of people diagnosed with PD also develop speech disorders. This has led scientific community to research information embedded in speech signal from Parkinson's patients, which has allowed not only a diagnosis of the pathology but also a follow-up of its evolution. In recent years, a large number of studies have focused on the automatic detection of pathologies related to the voice, in order to make objective eval
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Mesallam, Tamer A., Mohamed Farahat, Khalid H. Malki, et al. "Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms." Journal of Healthcare Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8783751.

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A voice disorder database is an essential element in doing research on automatic voice disorder detection and classification. Ethnicity affects the voice characteristics of a person, and so it is necessary to develop a database by collecting the voice samples of the targeted ethnic group. This will enhance the chances of arriving at a global solution for the accurate and reliable diagnosis of voice disorders by understanding the characteristics of a local group. Motivated by such idea, an Arabic voice pathology database (AVPD) is designed and developed in this study by recording three vowels,
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Anmella, Gerard, Michele De Prisco, Jeremiah B. Joyce, et al. "Automated Speech Analysis in Bipolar Disorder: The CALIBER Study Protocol and Preliminary Results." Journal of Clinical Medicine 13, no. 17 (2024): 4997. http://dx.doi.org/10.3390/jcm13174997.

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Background: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns. Detecting these patterns is crucial for diagnosis and monitoring, currently assessed subjectively. Advances in natural language processing offer opportunities to objectively analyze them. Aims: To (i) correlate speech features with manic-depressive symptom severity in BD, (ii) develop predictive models for diagnostic and treatment outcomes, and (iii) determine the most relevant speech features and tasks for these analyses. Methods: This naturalistic, observational study involved longitud
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Shrivas, Avinash, Shrinivas Deshpande, Girish Gidaye, et al. "Employing Energy and Statistical Features for Automatic Diagnosis of Voice Disorders." Diagnostics 12, no. 11 (2022): 2758. http://dx.doi.org/10.3390/diagnostics12112758.

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The presence of laryngeal disease affects vocal fold(s) dynamics and thus causes changes in pitch, loudness, and other characteristics of the human voice. Many frameworks based on the acoustic analysis of speech signals have been created in recent years; however, they are evaluated on just one or two corpora and are not independent to voice illnesses and human bias. In this article, a unified wavelet-based paradigm for evaluating voice diseases is presented. This approach is independent of voice diseases, human bias, or dialect. The vocal folds’ dynamics are impacted by the voice disorder, and
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Kruyt, Joanna, and Štefan Beňuš. "Prosodic entrainment in individuals with autism spectrum disorder." Topics in Linguistics 22, no. 2 (2021): 47–61. http://dx.doi.org/10.2478/topling-2021-0010.

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Abstract Entrainment is the tendency of people to behave similarly during an interaction. It occurs on different levels of behaviour, including speech, and has been associated with pro-social behaviour and increased rapport. This review paper outlines the current understanding of linguistic entrainment, particularly at the speech level, in individuals with autism spectrum disorder (ASD), a disorder that is associated with social difficulties and unusual prosody. Aberrant entrainment patterns in individuals with ASD could thus contribute to both their perceived unusual prosody and their social
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Illner, Vojtěch, Tereza Tykalová, Michal Novotný, Jiří Klempíř, Petr Dušek, and Jan Rusz. "Toward Automated Articulation Rate Analysis via Connected Speech in Dysarthrias." Journal of Speech, Language, and Hearing Research 65, no. 4 (2022): 1386–401. http://dx.doi.org/10.1044/2021_jslhr-21-00549.

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Purpose: This study aimed to evaluate the reliability of different approaches for estimating the articulation rates in connected speech of Parkinsonian patients with different stages of neurodegeneration compared to healthy controls. Method: Monologues and reading passages were obtained from 25 patients with idiopathic rapid eye movement sleep behavior disorder (iRBD), 25 de novo patients with Parkinson's disease (PD), 20 patients with multiple system atrophy (MSA), and 20 healthy controls. The recordings were subsequently evaluated using eight syllable localization algorithms, and their perfo
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Aal, Hadeel Ahmed Abd El, Shereen A. Taie, and Nashwa El-Bendary. "An optimized RNN-LSTM approach for parkinson’s disease early detection using speech features." Bulletin of Electrical Engineering and Informatics 10, no. 5 (2021): 2503–12. http://dx.doi.org/10.11591/eei.v10i5.3128.

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Parkinson's disease (PD) is the second most common neurodegenerative disorder disease right after Alzheimer's and the most common movement disorder for elderly people. It is characterized as a progressive loss of muscle control, which leads to trembling characterized by uncontrollable shaking, or (tremors) in different parts of the body. In recent years, deep learning (DL) models achieved significant progress in automatic speech recognition, however, limited studies addressed the problem of distinguishing people with PD for further clinical diagnosis. In this paper, an approach for the early d
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Dissertationen zum Thema "Automatic diagnosis of speech disorder"

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Bezůšek, Marek. "Objektivizace Testu 3F - dysartrický profil pomocí akustické analýzy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442568.

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Test 3F is used to diagnose the extent of motor speech disorder – dysarthria for czech speakers. The evaluation of dysarthric speech is distorted by subjective assessment. The motivation behind this thesis is that there are not many automatic and objective analysis tools that can be used to evaluate phonation, articulation, prosody and respiration of speech disorder. The aim of this diploma thesis is to identify, implement and test acoustic features of speech that could be used to objectify and automate the evaluation. These features should be easily interpretable by the clinician. It is assum
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Heidtke, Uta Johanna. "Diagnosis of Auditory Processing Disorder in Children using an Adaptive Filtered Speech Test." Thesis, University of Canterbury. Communication Disorders, 2010. http://hdl.handle.net/10092/4536.

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Auditory Processing Disorder (APD) is an auditory-specific perceptual deficit in the processing of auditory stimuli that occurs in spite of normal peripheral hearing thresholds and normal intellectual capacity American Speech-Language-Hearing Association (ASHA, 2005). The diagnostic process of APD typically involves a test battery consisting of sub-tests designed to examine the integrity of various auditory processes of the central auditory nervous system (CANS). One category of these sub-tests is the low-pass filtered speech test (FST), whereby a speech signal is distorted by using filtering
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Whaley, Jennifer R. "Diagnosis of an Autism Spectrum Disorder: Parents' Perceptions of the Interpretive Conference." Oxford, Ohio : Miami University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1176586163.

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Cogswell, Pamela E. "A Study of the Association Among the Diagnosis of Speech-Language Impairments and the Diagnoses of Learning Disabilities and/or Attention Deficit Hyperactivity Disorder." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4222.

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The purpose of this study was to determine if an association exists among the diagnosis of speech-language impairments (SLI) and the diagnoses of learning disabilities (LD) and/or attention deficit hyperactivity disorder (ADHD) in a school-aged population of children referred to a Learning Disorders Clinic (LDC) because of academic underachievement and/or behavior problems. The two research questions asked in this study are: (a) What percentage of students diagnosed with SLI have a concomitant diagnosis of LD and/or ADHD? and (b) Is there an association among the diagnosis of SLI and the diagn
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Esteller, Rosana. "Detection of seizure onset in epileptic patients from intracranial EEG signals." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15620.

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Kwok, Chui-ling Irene, and 郭翠玲. "Electropalatographic investigation of normal Cantonese speech: a qualitative and quantitative analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B38626135.

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Amaro, Luciana. "Descrição de distorções dos sons da fala em crianças com e sem transtorno fonológico." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/8/8139/tde-05122008-111037/.

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No transtorno fonológico podem ocorrer concomitantemente alterações fonéticas e fonológicas, que comprometem a articulação e o conhecimento internalizado do sistema de sons da língua. As alterações fonéticas podem acontecer também em crianças com desenvolvimento típico de linguagem. Várias pesquisas têm mostrado a importância de se utilizar técnicas objetivas durante o diagnóstico bem como da aplicação de índices de gravidade. O objetivo desta pesquisa é identificar a ocorrência de distorções de fala e aplicar e comparar os índices de gravidade em crianças entre cinco e sete anos de idade com
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Pokorný, Vojtěch. "Systém pro odstranění vad řeči u dětí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316837.

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Speech is one of the basic forms of human communication and disruption of communication ability can negatively affect the life of man. deals with the elaboration of logopedic theory, which serves as a basis for the follow-up design and application creation in the field of speech therapy. The thesis is divided into five chapters. The first chapter deals with the history of speech therapy with an emphasis on domestic logopaedia, the logopedic intervention process in its entirety, and the differentiation of individual types of impaired communication skills. The second chapter focuses on a specifi
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Sodré, Bruno Ribeiro. "Reconhecimento de padrões aplicados à identificação de patologias de laringe." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2013.

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As patologias que afetam a laringe estão aumentando consideravelmente nos últimos anos devido à condição da sociedade atual onde há hábitos não saudáveis como fumo, álcool e tabaco e um abuso vocal cada vez maior, talvez por conta do aumento da poluição sonora, principalmente nos grandes centros urbanos. Atualmente o exame utilizado pela endoscopia per-oral, direcionado a identificar patologias de laringe, são a videolaringoscopia e videoestroboscopia, ambos invasivos e por muitas vezes desconfortável ao paciente. Buscando melhorar o bem estar e minimizar o desconforto dos pacientes que necessi
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Vošická, Edita. "Autismus - Použití systémů alternativní a augmentativní komunikace u jedinců s poruchou autistického spektra." Master's thesis, 2012. http://www.nusl.cz/ntk/nusl-306901.

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This diploma thesis deals with alternative and augmentative communication systems using at the individuals with pervasive development disorders. Thesis is divided the theoretical and the experimental part. Theoretical part contains mainly informations about communication disability, speech development, diagnosis of communication abilities, alternative and augmentative communication systems and possibilities of aid to the families with child with pervasive development disorder. Experimental part presents research using questionnaire, which was send to the parents or legal representatives with c
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Bücher zum Thema "Automatic diagnosis of speech disorder"

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Baghai-Ravary, Ladan, and Steve W. Beet. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4574-6.

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Baghai-Ravary, Ladan. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer New York, 2013.

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Barbara, Dodd, ed. Differential diagnosis and treatment of children with speech disorder. 2nd ed. Whurr, 2005.

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Dodd, Barbara. The differential diagnosis and treatment of children with speech disorder. Whurr, 1995.

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Dodd, Barbara. The differential diagnosis and treatment of children with speech disorder. Whurr Publishers, 1995.

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E, Musiek Frank, and Chermak Gail D, eds. Handbook of (central) auditory processing disorder. Plural Pub., 2007.

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D, Matthews Dawn, ed. Learning disabilities sourcebook: Basic consumer health information about learning disabilities, including dyslexia, developmental speech and language disabilities, non-verbal learning disorders, developmental arithmetic disorder, developmental writing disorder, and other conditions that impede learning such as attention deficit/hyperactivity disorder, brain injury, hearing impairment, Klinefelter syndrome, dyspraxia, and Tourette syndrome, along with facts about educational issues and assistive technology, coping strategies, a glossary of related terms, and resources for further help and information. 2nd ed. Omnigraphics, 2003.

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Kim, Grundy, ed. Linguistics in clinical practice. Taylor & Francis, 1989.

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Baghai-Ravary, Ladan, and Steve W. Beet. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer, 2012.

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Baghai-Ravary, Ladan. Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. Springer, 2012.

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Buchteile zum Thema "Automatic diagnosis of speech disorder"

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Kaneri, Sushmita, Deepali Joshi, and Ranjana Jadhav. "Automatic Diagnosis of Attention Deficit/Hyperactivity Disorder." In Machine Learning and Information Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1884-3_12.

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Jain, Deepti, Sandhya Arora, and C. K. Jha. "Diagnosis of Psychopathic Personality Disorder with Speech Patterns." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0108-1_38.

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Yang, Zhixin, Hualiang Li, Li Li, Kai Zhang, Chaolin Xiong, and Yuzhong Liu. "Speech-Based Automatic Recognition Technology for Major Depression Disorder." In Human Centered Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37429-7_55.

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Dodd, Barbara, Tania Russell, and Michael Oerlemans. "Does a Past History of Speech Disorder Predict Literacy Difficulties?" In Reading Disabilities: Diagnosis and Component Processes. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1988-7_9.

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Lopez-de-Ipiña, K., J. Solé-Casals, J. B. Alonso, C. M. Travieso, M. Ecay, and P. Martinez-Lage. "On the Alzheimer’s Disease Diagnosis: Automatic Spontaneous Speech Analysis." In Transactions on Computational Collective Intelligence XVII. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44994-3_14.

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Sharma, M. K., Lalit Mohan Pant, Ruchi Tewari, Chetan Shelke, Kandhili Chandrasekaran Gayathri, and Dillip Narayan Sahu. "Automatic Speech Recognition for Bilingual Children in Identification of Language Disorder." In Advances in Intelligent Systems and Computing. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6352-8_45.

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Pompili, Anna, Alberto Abad, Paolo Romano, et al. "Automatic Detection of Parkinson’s Disease: An Experimental Analysis of Common Speech Production Tasks Used for Diagnosis." In Text, Speech, and Dialogue. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64206-2_46.

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Kämpf, Maike Salazar, and Cornelia Exner. "Mimicry in Psychological Disorders and Psychotherapy." In Automatic Imitation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62634-0_15.

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AbstractMimicry plays an important role in social interactions. Problems in social interactions are both diagnostic criteria as well as risk factors of psychological disorders. An interesting hypothesis is that mimicry behavior of people with psychological disorders is different compared to people who are not suffering from a psychological disorder, and that this contributes to their problems in social interactions which in turn may worsen symptomatology and may have consequences for the therapeutic process. In this chapter we summarize existing studies on mimicry and akin phenomena in psychot
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Igual, Laura, Joan Carles Soliva, Roger Gimeno, Sergio Escalera, Oscar Vilarroya, and Petia Radeva. "Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention-Deficit/Hyperactivity Disorder." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31298-4_27.

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Margetson, Kate, Sharynne McLeod, and Sarah Verdon. "Chapter 8. Diagnosing speech sound disorder in bilingual Vietnamese-English-speaking children." In Studies in Bilingualism. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/sibil.67.08mar.

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Multilingual children suspected of having speech sound disorders (SSD) are often only assessed in English due to challenges facing speech-language pathologists (SLPs) such as inadequate resources, lack of access to multilingual SLPs or interpreters, and limited SLP knowledge and skill in assessing unfamiliar languages. This paper describes the speech profiles and diagnostic decision-making for four bilingual Vietnamese-English speaking children aged 4–6 years. When using English-only assessment all children were diagnosed with SSD. When assessed in English and Vietnamese, only two children wer
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Konferenzberichte zum Thema "Automatic diagnosis of speech disorder"

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Liu, Shaozhe, Leike An, and Ziyu Jia. "A Domain Adversarial Learning Framework for Major Depression Disorder Diagnosis." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890636.

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Wei, Yingchen, Xihe Qiu, Xiaoyu Tan, et al. "An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888243.

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Hammami, Nacereddine, Mouldi Bedda, Nadir Farah, and Sihem Mansouri. "/r/-Letter disorder diagnosis (/r/-LDD): Arabic speech database development for automatic diagnosis of childhood speech disorders (Case study)." In 2015 Intelligent Systems and Computer Vision (ISCV). IEEE, 2015. http://dx.doi.org/10.1109/isacv.2015.7105542.

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Vyas, Garima, Malay Kishore Dutta, Jiri Prinosil, and Pavol Harar. "An automatic diagnosis and assessment of dysarthric speech using speech disorder specific prosodic features." In 2016 39th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2016. http://dx.doi.org/10.1109/tsp.2016.7760933.

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Albornoz, E. M., L. D. Vignolo, C. E. Martinez, and D. H. Milone. "Genetic wrapper approach for automatic diagnosis of speech disorders related to Autism." In 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2013. http://dx.doi.org/10.1109/cinti.2013.6705227.

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Srivastava, Neelesh, Mansi Bhatnagar, Anjali Yadav, Malay Kishore Dutta, and Carlos M. Travieso. "Machine learning based improved automatic diagnosis of cardiac disorder." In the 2nd International Conference. ACM Press, 2019. http://dx.doi.org/10.1145/3309772.3309783.

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Ng, Si-Ioi, Cymie Wing-Yee Ng, Jiarui Wang, and Tan Lee. "Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations." In Interspeech 2022. ISCA, 2022. http://dx.doi.org/10.21437/interspeech.2022-935.

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Ren, Zhao, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, and Björn W. Schuller. "Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data." In DPH2019: 9th International Digital Public Health Conference (2019). ACM, 2019. http://dx.doi.org/10.1145/3357729.3357743.

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Cao, Xu, Wenqian Ye, Elena Sizikova, et al. "Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10094684.

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Krishna B, Devi, Leena Mary, and Anu George. "Automatic Severity Evaluation of Articulation Disorder in Speech using Dynamic Time Warping." In 2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS). IEEE, 2021. http://dx.doi.org/10.1109/icmss53060.2021.9673654.

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Berichte der Organisationen zum Thema "Automatic diagnosis of speech disorder"

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Cogswell, Pamela. A Study of the Association Among the Diagnosis of Speech-Language Impairments and the Diagnoses of Learning Disabilities and/or Attention Deficit Hyperactivity Disorder. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6104.

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