Yi Xiao, Harshit Sharma, Victoria Tumanova, Asif Salekin
{"title":"Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter.","authors":"Yi Xiao, Harshit Sharma, Victoria Tumanova, Asif Salekin","doi":"10.1145/3716550.3722019","DOIUrl":"10.1145/3716550.3722019","url":null,"abstract":"<p><p>This paper presents a novel approach named <i>PASAD</i> that detects changes in perceptually fluent speech acoustics of young children. Particularly, analysis of perceptually fluent speech enables identifying the speech-motor-control factors that are considered as the underlying cause of stuttering disfluencies. Recent studies indicate that the speech production of young children, especially those who stutter, may get adversely affected by situational physiological arousal. A major contribution of this paper is leveraging the speaker's situational physiological responses in real-time to analyze the speech signal effectively. The presented <i>PASAD</i> approach adapts a <i>Hyper-Network</i> structure to extract temporal speech importance information leveraging physiological parameters. Moreover, we collected speech and physiological sensing data from 73 preschool-age children who stutter (<i>CWS</i>) and who do not stutter (<i>CWNS</i>) in different conditions. <i>PASAD</i>'s unique architecture enables identifying speech attributes distinct to a <i>CWS</i>'s fluent speech and mapping them to the speaker's respective speech-motor-control factors. Extracted knowledge can enhance understanding of children's speech-motor-control and stuttering development. Our comprehensive evaluation shows that <i>PASAD</i> outperforms state-of-the-art multi-modal baseline approaches in different conditions, is expressive and adaptive to the speaker's speech and physiology, generalizable, robust, and is real-time executable.</p>","PeriodicalId":523883,"journal":{"name":"... ACM/IEEE International Conference on Cyber-Physical Systems. IEEE/ACM International Conference on Cyber-Physical Systems","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13228155/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148160158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kourosh Vali, Begum Kasap, Ata Vafi, Soheil Ghiasi
{"title":"JOIN: Optimized Light Source Activation for Deep Tissue Optical Sensing.","authors":"Kourosh Vali, Begum Kasap, Ata Vafi, Soheil Ghiasi","doi":"10.1145/3716550.3722039","DOIUrl":"https://doi.org/10.1145/3716550.3722039","url":null,"abstract":"<p><p>In wearable optical sensing systems, non-idealities present during measurement affect the quality of acquired signals of interest. The issue is of particular significance in deep tissue sensing applications in which the signal of interest is faint relative to typical noise sources that contaminate the measured data. To mitigate the problem, we investigate the role of optimizing the light source activation pulse, specifically its toggling rate and duty cycle. We identify the potential for the optical source activation signal to mitigate the problem and characterize its design space. Subsequently, we present JOIN, an algorithm that yields the parameters of an optimized activation signal for a given profile of contextual noise profile. Through this algorithm, we strike a balance between avoiding noisy spectral regions associated with environmental disturbances and fitting a judiciously-selected number of signal harmonics into the measurement bandwidth, thereby enhancing the signal-to-noise ratio (SNR) of the acquired data from deep tissue by as much as <math><mn>6</mn> <mi>d</mi> <mi>B</mi></math> . The proposed method is validated through analytical derivations, as well as test bench and <i>in-vivo</i> measurements on human subjects.</p>","PeriodicalId":523883,"journal":{"name":"... ACM/IEEE International Conference on Cyber-Physical Systems. IEEE/ACM International Conference on Cyber-Physical Systems","volume":"2025 ","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13634334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149122517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}