AD-Child.Ru: Speech Corpus for Russian Children with Atypical Development

Lyakso, Elena E.; Frolova, Оlga; Kaliyev, Arman; Gorodnyi, Viktor; Grigorev, Aleksey; Matveev, Yuri

doi:10.1007/978-3-030-26061-3_31

Cited by 13 publications

(9 citation statements)

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“…Creating the database "Adult-Child Speech Interaction" is the main result of our work. The database structure is traditional for speech bases [11,12]. However, the specificity of this work is the psychophysiological research, which allowed identifying the features of interaction between mother and child in dyads with typically and atypically developing children of preschool age.…”

Section: Discussionmentioning

confidence: 99%

“…These databases contain spontaneous speech and vocalizations of children from birth to 7 year and find wide application in the study of speech ontogenesis. The speech database "AD-Child.Ru" is currently being created that contains speech materials of 4-16-year old children with atypical development [11,12]. The CHILDES database including speech material of children growing up in different linguistic environments is used to identify the influence of maternal speech (MR) on the formation of a child's speech.…”

Section: Introductionmentioning

confidence: 99%

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Adult-Child Speech Interaction: Speech Database and Psychophysiological Experimental Data

Lyakso¹,

ijatcse²

2019

IJATCSE

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The paper describes the database "Adult-Child Speech Interaction": the speech material, recording conditions, equipment for recordings, and additional information about informants. At the present time the database "Adult-Child Speech Interaction" includes: 412 Gb of audio and video records collected from 80 dyads "mother -4-7-year old children" with typically developing children (n = 40 dyads), children with autism spectrum disorders (n = 20 dyads), children with Down syndrome (n = 20 dyads); 87 Gb of audio and video records of interaction between the experimenter and 10 orphans with light intellectual disabilities and 10 orphans with developmental disorders. The psychophysiological study is aimed at identifying the features of speech interaction in dyads depending on the neurological and psychophysiological state of the child. The practical application of the database that can be used for creating automatic speech and language training systems and socialization skills developing for children with developmental disabilities is discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adult-Child Speech Interaction: Speech Database and Psychophysiological Experimental Data

Lyakso¹,

ijatcse²

2019

IJATCSE

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“…After determining the current psychophysiological state of the student, a perceptual experiment was carried out. Speech samples were selected from the AD_CHILD.RU database (Lyakso et al, 2019). Test sequences were created using the Cool Edit Pro 2.1 sound editor.…”

Section: Methodsmentioning

confidence: 99%

Psychological Applications and Trends 2022

2022

Psychological Applications and Trends

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The United Nations High Commissioner for Refugees (UNHCR) estimated that as of 2021 there were currently 84 million who have been forcibly displaced from their homes across the globe. The conflict in Ukraine has led to a further marked increase in these numbers. Mental health difficulties have been shown to be elevated in forcibly displaced people (including asylum seeking and refugee populations). Risk factors can be associated with events that occurred prior to, during, and after the migratory journey. Whilst there is recognition of the important impact that a history of traumatic events (e.g., torture, abuse and neglect) can have, social adversity in the form of 'daily stressors' (e.g., a lack of access to basic resources, isolation, lack of safety and security, family violence) is being increasingly recognised as an important determinant of the mental health of forcibly displaced people. Concerns have been raised about the potential medicalization of social adversity faced by displaced populations. There has also been a comparative lack of research investigating approaches that may be helpful for enhancing the quality of life and subjective wellbeing of forcibly displaced people. Psychosocial interventions and low-intensity psychological interventions can provide scalable opportunities for treating common mental disorders and promoting wellbeing. This presentation will focus on research studies that I have been involved in which have been undertaken in the EU and in sub-Saharan Africa to evaluate the efficacy of psychosocial interventions for forcibly displaced people. These projects have involved the linguistic and cultural adaptation of interventions and assessment measures. The implications that this research has for the integration of forcibly displaced people in the EU and beyond will be discussed. This will include a focus on conceptual frameworks that provide opportunities for situating determinants of mental health in the socio-political context in which forcibly displaced people live their lives, and not just risk-and protective-factors specific to the individual. BiographyProf. Ross White (PhD, DClinPsy) is a Professor of Clinical Psychology at Queen's University Belfast. He is an expert in Global Mental Health. He was lead editor of 'The Palgrave Handbook of Socio-cultural Perspectives on Global Mental Health'. Ross has research collaborations with the World Health Organization and United Nations High Commissioner for Refugees investigating the efficacy of psychosocial interventions for reducing distress experienced by refugees particularly in the context and/or aftermath of humanitarian crises. He also has an interest in the processes involved in the linguistic/cultural adaptation of psychological therapies. Ross is the Principal Investigator on the ESRC/AHRC funded Community-based Sociotherapy Adapted for Refugees (COSTAR) project that is evaluating a psychosocial intervention for Congolese refugees living in Uganda and Rwanda. Ross was a co-investigator on the EU Horizon2020 funded Refugee Emerg...

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“…Corpora containing the spontaneous speech of Italian children aged 8-12 years [31] and Swedish children aged 8-15 years [32] also include the emotional child speech. On the material of the Russian language, the first corpus of emotional spontaneous speech of children aged 3-7 years "EmoChildRu" [3] and database "AD_Child.Ru" for speech of atypical development children was created [33,34]. These corpora contain video records of children's behavior, physiological data (hearing thresholds, phonemic hearing, etc.).…”

Section: Approbation Of a Methods For Studying The Reflection Of Emotional State In Children's Speech And Pilot Psychophysiological Expermentioning

confidence: 99%

Approbation of a method for studying the reflection of emotional state in children's speech and pilot psychophysiological experimental data

Lyakso¹,

Nersisson

Frolova³

et al. 2020

IJATCSE

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The goal of the study is cross-linguistic research of 8-12 year old children's emotional speech classification by experts and automatically using the material of the Russian and Tamil languages. In the proposed project, this objective will be solved by a complex analysis of the emotional speech of informants with typical development in the age range of 8-12 years, using four emotional states "sadness, joy, anger and neutral", to analyze what is relevant and new in connection with the lack of analogous data. Comparison of data on recognizing the emotional speech of children on the material of two languages belonging to different language groups will be made. Two approaches to emotional speech recognition are planned to use -by man and automatically, moreover, for automatic recognition, different analysis algorithms will be applied. The use of different algorithms for automated assessment of emotional states according to speech features that were previously used in analyzing a specific language is new and relevant. This will make it possible to determine their universality or specificity and, perhaps, based on them to develop an entirely new approach to analyzing emotional speech of children. The standardized approach to the collection of speech material will provide valid data on the recognition of child's emotions on the base of their speech characteristics. In this paper, we describe the methodology of our study and preliminary results of a perceptual experiment.

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AD-Child.Ru: Speech Corpus for Russian Children with Atypical Development

Cited by 13 publications

References 12 publications

Adult-Child Speech Interaction: Speech Database and Psychophysiological Experimental Data

Adult-Child Speech Interaction: Speech Database and Psychophysiological Experimental Data

Psychological Applications and Trends 2022

Approbation of a method for studying the reflection of emotional state in children's speech and pilot psychophysiological experimental data

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