Dataset Information

Electroencephalographic Correlate of Mexican Spanish Emotional Speech Processing in Autism Spectrum Disorder: To a Social Story and Robot-Based Intervention.

ABSTRACT: Socio-emotional impairments are key symptoms of Autism Spectrum Disorders. This work proposes to analyze the neuronal activity related to the discrimination of emotional prosodies in autistic children (aged 9 to 11-year-old) as follows. Firstly, a database for single words uttered in Mexican Spanish by males, females, and children will be created. Then, optimal acoustic features for emotion characterization will be extracted, followed of a cubic kernel function Support Vector Machine (SVM) in order to validate the speech corpus. As a result, human-specific acoustic properties of emotional voice signals will be identified. Secondly, those identified acoustic properties will be modified to synthesize the recorded human emotional voices. Thirdly, both human and synthesized utterances will be used to study the electroencephalographic correlate of affective prosody processing in typically developed and autistic children. Finally, and on the basis of the outcomes, synthesized voice-enhanced environments will be created to develop an intervention based on social-robot and Social Story^TM for autistic children to improve affective prosodies discrimination. This protocol has been registered at BioMed Central under the following number: ISRCTN18117434.

SUBMITTER: Duville MM

PROVIDER: S-EPMC7952538 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Electroencephalographic Correlate of Mexican Spanish Emotional Speech Processing in Autism Spectrum Disorder: To a Social Story and Robot-Based Intervention.

Duville Mathilde Marie MM Alonso-Valerdi Luz Maria LM Ibarra-Zarate David I DI

Frontiers in human neuroscience 20210226

Socio-emotional impairments are key symptoms of Autism Spectrum Disorders. This work proposes to analyze the neuronal activity related to the discrimination of emotional prosodies in autistic children (aged 9 to 11-year-old) as follows. Firstly, a database for single words uttered in Mexican Spanish by males, females, and children will be created. Then, optimal acoustic features for emotion characterization will be extracted, followed of a cubic kernel function Support Vector Machine (SVM) in or ...[more]

PMID: 33716696

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Project description:Many individuals with autism spectrum disorders (ASD) demonstrate some challenges with personal narrative writing. Sentence completion tests (SCT) is a class of semi-structured projective techniques and encourage respondents to disclose their private narratives. Even in SCT, only providing beginning of sentences is inadequate to compensate atypicalities in their creativity and imagination, and self-disclosure is difficult for many individuals with ASD. It is reported that many individuals with ASD often achieve a higher degree of task engagement through interactions with robots and that robotic systems may be useful in eliciting and promoting social communication such as self-disclosure for some individuals with ASD. There is a possibility that exemplification by android robots in place of human interviewers can result in a higher degree of task engagement for individuals with ASD. The objective of this study was to investigate whether additional exemplifications by android robots in the SCT can prompt self-disclosure for individuals with ASD. We compared the difference in disclosure statements and subjective emotion in the testing paper of the SCT in additional exemplification by an android robot and a human interviewer. In addition, we assessed the disclosure statements and subjective emotions in the SCT, for which exemplifications were written on testing paper to make the comparison. Our quantitative data suggested that exemplification by android robot promoted more self-disclosure, especially about the negative topic compared to exemplification by a human interviewer and that written on test paper. In addition, the level of participant embarrassment in response to exemplification by the android robot seemed to be lower compared to that in the human interviewer condition. In the assessment and support for individuals with ASD, eliciting self-disclosure is a pressing issue. It is hoped that the appropriate use of robots will lead to a better understanding and support for their application.

Project description:This study examined production and perception of affective prosody by adults with autism spectrum disorder (ASD). Previous research has reported increased pitch variability in talkers with ASD compared to typically developing (TD) controls in grammatical speaking tasks (e.g., comparing interrogative vs. declarative sentences), but it is unclear whether this pattern extends to emotional speech. In this study, speech recordings in five emotion contexts (angry, happy, interested, sad, and neutral) were obtained from 15 adult males with ASD and 15 controls (Experiment 1), and were later presented to 52 listeners (22 with ASD) who were asked to identify the emotion expressed and rate the level of naturalness of the emotion in each recording (Experiment 2). Compared to the TD group, talkers with ASD produced phrases with greater intensity, longer durations, and increased pitch range for all emotions except neutral, suggesting that their greater pitch variability was specific to emotional contexts. When asked to identify emotion from speech, both groups of listeners were more accurate at identifying the emotion context from speech produced by ASD speakers compared to TD speakers, but rated ASD emotional speech as sounding less natural. Collectively, these results reveal differences in emotional speech production in talkers with ASD that provide an acoustic basis for reported perceptions of oddness in the speech presentation of adults with ASD. Autism Res 2017, 10: 1991-2001. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.This study examined emotional speech communication produced and perceived by adults with autism spectrum disorder (ASD) and typically-developing (TD) controls. Compared to the TD group, talkers with ASD produced emotional phrases that were louder, longer, and more variable in pitch. Both ASD and TD listeners were more accurate at identifying emotion in speech produced by ASD speakers compared to TD speakers, but rated ASD emotional speech as sounding less natural.

Dataset Information

Electroencephalographic Correlate of Mexican Spanish Emotional Speech Processing in Autism Spectrum Disorder: To a Social Story and Robot-Based Intervention.

Publications

Electroencephalographic Correlate of Mexican Spanish Emotional Speech Processing in Autism Spectrum Disorder: To a Social Story and Robot-Based Intervention.

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