Acoustic and Physiological Feature Analysis of Affective Speech
نویسندگان
چکیده
The paper presents our recent work on the acoustic and physiological feature analysis of affective speech. An affective speech corpus is first built up. It contains passages read in neutral state and ten typical affective states selected in Pleasure Arousal Dominance (PAD) space. Physiological data, including electrocardiogram, respiration, electro dermal data, and finger pulse, are also collected synchronized with speech. Then based on the corpus, the relationship between affective states and acoustic\physiological features is studied through correlation analysis and co-clustering analysis. The analysis results show that most acoustic features and physiological features are significantly correlated with the arousal dimension, whereas only respiration features are more correlated with the pleasure dimension.
منابع مشابه
The Relationship Between Acoustic Characteristics and Personality Dimensions in Patients With Dysphonia
Objectives: Voice is influenced by personality. However, it is still questionable which acoustic features are influenced by personality traits. This study aimed to investigate the relationship between acoustic characteristics and personality dimensions. Methods: Thirty-three participants with dysphonia and 33 participants without dysphonia were recruited to take part in this cross-sectional st...
متن کاملAn Acoustic Study of Emotivity-Prosody Interface in Persian Speech Using the Tilt Model
This paper aims to explore some acoustic properties (i.e. duration and pitch amplitude of speech) associated with three different emotions: anger, sadness and joy against neutrality as a reference point, all being intentionally expressed by six Persian speakers. The primary purpose of this study is to find out if there is any correspondence between the given emotions and prosody patterning in P...
متن کاملبررسی ویژگیهای آکوستیکی مربوط به کنترل حرکتی گفتار در کودکان لکنتی و غیرلکنتی
Objective Stuttering is a developmental disorder of speech fluency with unknown causes. One of the proposed theories in this field is deficits in speech motor control that is associated with damaged control, timing, and coordination of the speech muscles. Fundamental frequency, fundamental frequency range, intensity, intensity range, and voice onset time are the most important acoustic componen...
متن کاملطراحی الگوریتم بازشناسی واجها با به کارگیری همبسته های آکوستیکی مشخصه های واجی
In the present paper, the phonological feature geometry of the Persian phonemes is analyzed in the form of articulate-free and articulate-bound features based on the articulator model of the nonlinear phonology. Then, the reference phonetic pattern of each feature that consists of one or a set of acoustic correlates, characterized by the quantitative or qualitative values in its phonological re...
متن کاملPersian Phone Recognition Using Acoustic Landmarks and Neural Network-based variability compensation methods
Speech recognition is a subfield of artificial intelligence that develops technologies to convert speech utterance into transcription. So far, various methods such as hidden Markov models and artificial neural networks have been used to develop speech recognition systems. In most of these systems, the speech signal frames are processed uniformly, while the information is not evenly distributed ...
متن کامل