Automatic speaker diarization for natural conversation analysis in autism clinical trials.
Automatic speaker diarization for natural conversation analysis in autism clinical trials.
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DOI：
10.1038/s41598-023-36701-4
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发表时间：
2023-06-24
影响因子：
4.6
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中科院分区：
文献类型：
--
作者：
社交障碍是自闭症谱系障碍（ASD）的核心症状领域之一。正在开发新的治疗方法来帮助个人应对这些挑战，然而，显示益处的能力取决于敏感和可靠的治疗效果测量。目前，衡量这些赤字需要使用耗时和主观的技术。从自然对话中提取的客观测量方法可能与生态学更相关，并更频繁地管理，也许会增加他们对变化的敏感性。虽然有几项研究使用自动分析方法来研究自闭症言语，但它们需要手动翻译。为了绕过这个耗时的过程，必须首先应用自动化的说话人日志化算法。在本文中，我们正在测试一个扬声器diarization算法是否可以应用到自闭症患者和他们的对话伙伴之间的自然对话在一个自然的设置在家里的临床试验过程中。我们计算了参与者在轮到他们时发言的平均时长。我们发现这一特征与Vineland适应行为量表（VABS）表达沟通评分之间存在显著相关性（r = 0.51，p = 7 × 10-5）。我们的研究结果表明，自然的对话可以用来获得健谈的措施，这一措施可以自动导出，从而显示了客观评估ASD的通信挑战的承诺。
Challenges in social communication is one of the core symptom domains in autism spectrum disorder (ASD). Novel therapies are under development to help individuals with these challenges, however the ability to show a benefit is dependent on a sensitive and reliable measure of treatment effect. Currently, measuring these deficits requires the use of time-consuming and subjective techniques. Objective measures extracted from natural conversations could be more ecologically relevant, and administered more frequently—perhaps giving them added sensitivity to change. While several studies have used automated analysis methods to study autistic speech, they require manual transcriptions. In order to bypass this time-consuming process, an automated speaker diarization algorithm must first be applied. In this paper, we are testing whether a speaker diarization algorithm can be applied to natural conversations between autistic individuals and their conversational partner in a natural setting at home over the course of a clinical trial. We calculated the average duration that a participant would speak for within their turn. We found a significant correlation between this feature and the Vineland Adaptive Behaviour Scales (VABS) expressive communication score (r = 0.51, p = 7 × 10–5). Our results show that natural conversations can be used to obtain measures of talkativeness, and that this measure can be derived automatically, thus showing the promise of objectively evaluating communication challenges in ASD.
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影响因子：
4.6
作者：
Salem AC;MacFarlane H;Adams JR;Lawley GO;Dolata JK;Bedrick S;Fombonne E
通讯作者：
Fombonne E
影响因子：
4.3
作者：
Gupta R;Bone D;Lee S;Narayanan S
通讯作者：
Narayanan S
影响因子：
4.7
作者：
Cola, Meredith;Zampella, Casey J.;Yankowitz, Lisa D.;Plate, Samantha;Petrulla, Victoria;Tena, Kimberly;Russell, Alison;Pandey, Juhi;Schultz, Robert T.;Parish-Morris, Julia
通讯作者：
Parish-Morris, Julia
影响因子：
1.9
作者：
Bangerter A;Ness S;Aman MG;Esbensen AJ;Goodwin MS;Dawson G;Hendren R;Leventhal B;Khan A;Opler M;Harris A;Pandina G
通讯作者：
Pandina G
影响因子：
4.3
作者：
Park, Tae Jin;Kanda, Naoyuki;Narayanan, Shrikanth
通讯作者：
Narayanan, Shrikanth