speech analysis
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2021 ◽  
Vol 9 (2) ◽  
pp. 326-338
Author(s):  
Abeer Al-Nafjan ◽  
Najwa Alghamdi ◽  
Abdulaziz Almudhi

Virtual reality (VR) technology provides an interactive computer-generated experience that artificially simulates real-life situations by creating a virtual environment that looks real and stimulates the user’s feelings. During the past few years, the use of VR technology in clinical interventions for assessment, rehabilitation and treatment have received increased attention. Accordingly, many clinical studies and applications have been proposed in the field of mental health, including anxiety disorders. Stuttering is a speech disorder in which affected individuals have a problem with the flow of speech. This can manifest in the repetition and prolongation of words or phrases, as well as in involuntary silent pauses or blocks during which the individual is unable to produce sounds. Stuttering is often accompanied by a social anxiety disorder as a secondary symptom, which requires separate treatment. In this study, we evaluated the effectiveness of using a VR environment as a medium for presenting speech training tasks. In addition, we evaluated the accuracy of a speech analyzer module in detecting stuttering events.


2021 ◽  
Vol 26 (2) ◽  
pp. 109-131
Author(s):  
Jenifer Tuban

Around 60, 000 in number, the Bagobo people constitute one of the indigenous peoples in Davao, Philippines. This study analyzes the Bagobo Tagabawa folk speech, specifically their proverbs and riddles. Also, this study aims to help in preserving the Bagobo Tagabawa folk speech and fostering a better understanding and appreciation of their life, literature, and people. The researcher analyzed the 90 proverbs and the 97 riddles in form and style using the classification of the riddles of George P. Murdock and the category of proverbs used by Damiana Eugenio. The concept of cultural anthropology by Franz Boas was employed in the study to determine the cultural contents of each literary piece of the said indigenous group. Findings reveal that the Bagobo people have rich and varied folk literature, constituting an important part of Philippine national literature that could vanish amid modernization. This study has contributed to the preservation of the cultural materials of the Bagobo Tagabawa. Thus, it is hoped that it will make it easier for non-Bagobo Filipinos and the rest of the world to know and appreciate Bagobo folk speech. Furthermore, the researcher recommends that this study be disseminated among folklore enthusiasts to enrich the Bagobo Tagabawa folk speech analysis. This research can help the National Commission on Indigenous Peoples (NCIP) promote, protect, and recognize the culture of the indigenous peoples, particularly in the territory of Mindanao.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Shaojun Lu ◽  
Ehab Abozinadah ◽  
Elif Erkec

Abstract As one of the main directions of applied mathematics research, inverse Fourier transform (FT) has been widely used in image speech analysis and other fields in recent decades of development. FT is the basic content of digital image processing technology. In practical analysis, image design and interaction can be realised by using time-space domain and frequency domain, which can accurately obtain image information characteristics and achieve the expected application goals. In this paper, based on the understanding of FT and inverse transform, an improved algorithm is used to lay the foundation for the realisation of image design and interactive technology.


Author(s):  
Sanne Koops ◽  
Sanne G. Brederoo ◽  
Janna N. de Boer ◽  
Femke G. Nadema ◽  
Alban E. Voppel ◽  
...  

Background: Depression is a debilitating disorder that at present lacks a reliable biomarker to aid in diagnosis and early detection. Recent advances in computational analytic approaches have opened up new avenues in developing such a biomarker by taking advantage of the wealth of information that can be extracted from a person’s speech. Objective: The current review provides an overview of the latest findings in the rapidly evolving field of computational language analysis for the detection of depression. We cover a wide range of both acoustic and content-related linguistic features, data types (i.e., spoken and written language), and data sources (i.e., lab settings, social media, and smartphone-based). We put special focus on the current methodological advances with regard to feature extraction and computational modeling techniques. Furthermore, we pay attention to potential hurdles in the implementation of automatic speech analysis. Conclusion: Depressive speech is characterized by several anomalies, such as lower speech rate, less pitch variability and more self-referential speech. With current computational modeling techniques, such features can be used to detect depression with an accuracy of up to 91%. The performance of the models is optimized when machine learning techniques are implemented that suit the type and amount of data. Recent studies now work towards further optimization and generalizability of the computational language models to detect depression. Finally, privacy and ethical issues are of paramount importance to be addressed when automatic speech analysis techniques are further implemented in, for example, smartphones. Altogether, computational speech analysis is well underway towards becoming an effective diagnostic aid for depression.


2021 ◽  
Author(s):  
Lakmal Rupasinghe ◽  
Alahendra A.M.A.T. N ◽  
Ranathunge R. A. D. O ◽  
Perera P.S. D ◽  
Kulathunge Y. N

Author(s):  
Luixa Reizabal ◽  
Iñaki Garcia ◽  
Eneko Sansinenea ◽  
Ainize Sarrionandia ◽  
Elsa Fernández ◽  
...  

Abstract Secondary prisonization refers to the impact of the incarceration of a relative on the members of their family. This study aimed to analyze the psychological effects of secondary prisonization on older parents. Specifically, levels of depression, anxiety, stress, and well-being (emotional, psychological, and social) were analyzed by means of quantitative and automatic speech analysis methods in a sample of over 65-year-old parents of Basque prisoners incarcerated in remote prisons. The statistical analysis of data and the automatic spontaneous speech analysis showed that secondary prisonization has a negative impact on older parents’ levels of depression, anxiety, stress, and well-being. These results lead us to conclude that remote imprisonment of adult children has negative psychological effects on older parents.


2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Sunghye Cho ◽  
Sanjana Shellikeri ◽  
Sharon Ash ◽  
Mark Y. Liberman ◽  
Murray Grossman ◽  
...  

2021 ◽  
Vol 14 (12) ◽  
pp. e246696
Author(s):  
Nodee Chowdhury ◽  
Atma Ram Bansal ◽  
Rajeev Goyal ◽  
Gowathi Nikhila

Landau-Kleffner syndrome (LKS) is described by the International Classification of Epileptic Syndromes since 1985 as a constellation of clinical and electrographic signs, including acquired aphasia, regression of language milestones and seizures, along with sleep-activated paroxysms on electroencephalogram which can progress to electrographic status epilepticus of sleep. In this case, a 7-year-old boy presented with an atypical history of new-onset aphasia and regression of language milestones with rare seizures. However, there was an electrographic mismatch in the form of right-sided epileptiform activity and continuous spike and wave of sleep pattern. Detailed speech analysis and perusal of the history revealed a possibly ambidextrous child with right hemispheric language dominance, and he was diagnosed with LKS and treated. This report illustrates the many pitfalls in the diagnosis and treatment of this rare epileptic syndrome.


2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Alexandra König ◽  
Inez H.G.B. Ramakers ◽  
Nicklas Linz ◽  
Radia Zeghari ◽  
Philippe Robert

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