Sinvani Rachel-Tzofia, Sapir Shimon
School of Occupational Therapy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Department of Communication Sciences and Disorders, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
Front Glob Womens Health. 2022 May 25;3:829114. doi: 10.3389/fgwh.2022.829114. eCollection 2022.
Expression and perception of emotions by voice are fundamental for basic mental health stability. Since different languages interpret results differently, studies should be guided by the relationship between speech complexity and the emotional perception. The aim of our study was therefore to analyze the efficiency of speech stimuli, vs. , as it relates to the accuracy of four different categories of emotions: , , , and . To this end, a total of 2,235 audio clips were presented to 49 females, native Hebrew speakers, aged 20-30 years (M = 23.7; SD = 2.13). Participants were asked to judge audio utterances according to one of four emotional categories: anger, sadness, happiness, and neutrality. Simulated voice samples were consisting of words and meaningful sentences, provided by 15 healthy young females Hebrew native speakers. Generally, vs. was not originally accepted as a means of emotional recognition of voice; However, introducing a variety of speech utterances revealed a different perception. Thus, the emotional conveyance provided new, even higher precision to our findings: emotions produced a higher impact to the single (χ = 10.21, < 0.01) as opposed to the , while was identified more accurately with a sentence (χ = 3.83, = 0.05). Our findings resulted in a better understanding of how speech types can interpret perception, as a part of mental health.
通过声音表达和感知情绪对于基本心理健康的稳定性至关重要。由于不同语言对结果的解释不同，研究应以言语复杂性与情绪感知之间的关系为指导。因此，我们研究的目的是分析言语刺激与（此处原文缺失相关内容）的效率，因为它与四种不同情绪类别的准确性相关：愤怒、悲伤、快乐和中性。为此，向49名年龄在20至30岁之间（M = 23.7；SD = 2.13）的以希伯来语为母语的以色列女性呈现了总共2235个音频片段。参与者被要求根据愤怒、悲伤、快乐和中性这四种情绪类别之一对音频话语进行判断。模拟语音样本由15名以希伯来语为母语的健康年轻女性提供的单词和有意义的句子组成。一般来说，（此处原文缺失相关内容）最初并不被认为是一种识别语音情绪的方式；然而，引入各种言语表达揭示了不同的感知。因此，情绪传达为我们的研究结果提供了新的、甚至更高的精度：与（此处原文缺失相关内容）相比，愤怒情绪对单个（此处原文缺失相关内容）产生了更高的影响（χ = 10.21，< 0.01），而悲伤情绪在句子中被更准确地识别（χ = 3.83，= 0.05）。我们的研究结果有助于更好地理解言语类型如何作为心理健康的一部分来解释感知。
