{"title":"Establishing Relationship between Emotional Prosody and Affective Pragmatics","authors":"","doi":"10.24113/ijohmn.v9i4.271","DOIUrl":null,"url":null,"abstract":"This work aims to provide theoretical grounds to establish a relationship between emotional prosody and affective pragmatics. Affective pragmatics is a significant yet least studied area of research. This theoretical framework focuses how emotional expressions are constructive in channelizing the pragmatic meaning under the umbrella of affective pragmatics and also encompasses the speech engineering that conveys unabridged abstract emotions in the phenomenal process of emotion recognition. Since speech act theory focuses meaning at utterance level and not at emotional level, thus, there is a need to reflect on emotional expressions that function as paralinguistic features. There are several studies carried out on identification of emotions using prosodic modeling; however, there is no meticulous study that shows relationship between emotions and their pragmatic meanings. The current study will be an application of Theory of Affective Pragmatics (TAP) proposed by Andrea Scarantino in 2017, a theory analogous to speech act theory. The objectives of the study can be achieved through analysis of quantitative data procured taking advantage of the emotional recordings from Emotional Prosody Speech and Transcripts (EPST), a worldwide database used in emotion recognition processes, along with employment of appropriate prosodic features using a Hidden Markov Model (HMM), a popular emotion recognition statistical model. The outcomes of this study will contribute to benefit new researchers in the field of linguistics to understand affective pragmatics at a profound level as a novel area of research.","PeriodicalId":384851,"journal":{"name":"International Journal online of Humanities","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal online of Humanities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24113/ijohmn.v9i4.271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work aims to provide theoretical grounds to establish a relationship between emotional prosody and affective pragmatics. Affective pragmatics is a significant yet least studied area of research. This theoretical framework focuses how emotional expressions are constructive in channelizing the pragmatic meaning under the umbrella of affective pragmatics and also encompasses the speech engineering that conveys unabridged abstract emotions in the phenomenal process of emotion recognition. Since speech act theory focuses meaning at utterance level and not at emotional level, thus, there is a need to reflect on emotional expressions that function as paralinguistic features. There are several studies carried out on identification of emotions using prosodic modeling; however, there is no meticulous study that shows relationship between emotions and their pragmatic meanings. The current study will be an application of Theory of Affective Pragmatics (TAP) proposed by Andrea Scarantino in 2017, a theory analogous to speech act theory. The objectives of the study can be achieved through analysis of quantitative data procured taking advantage of the emotional recordings from Emotional Prosody Speech and Transcripts (EPST), a worldwide database used in emotion recognition processes, along with employment of appropriate prosodic features using a Hidden Markov Model (HMM), a popular emotion recognition statistical model. The outcomes of this study will contribute to benefit new researchers in the field of linguistics to understand affective pragmatics at a profound level as a novel area of research.
本研究旨在为建立情感韵律与情感语用学之间的关系提供理论依据。情感语用学是一个重要但研究较少的领域。该理论框架关注情感表达在情感语用学的框架下如何建设性地引导语用意义,并包括在情感识别的现象过程中传达未删节的抽象情感的语音工程。由于言语行为理论关注的是话语层面的意义,而不是情感层面的意义,因此有必要对作为副语言特征的情感表达进行反思。有几项研究利用韵律模型来识别情绪;然而,对于情感与其语用意义之间的关系,并没有细致的研究。本研究将运用Andrea Scarantino于2017年提出的情感语用学理论(Theory of Affective语用学,TAP),这是一个类似于言语行为理论的理论。该研究的目标可以通过分析从情感韵律语音和转录(EPST)中获得的定量数据来实现,EPST是一个用于情感识别过程的全球数据库,同时使用隐马尔可夫模型(HMM)(一种流行的情感识别统计模型)使用适当的韵律特征。本研究的结果将有助于语言学领域的新研究者在更深层次上理解情感语用学这一新兴的研究领域。