Head motions naturally occur in synchrony with speech and may carry paralinguistic information, such as intentions, attitudes and emotions, in dialogue communication. With the aim of verifying the relationship between head motions and the linguistic and paralinguistic functions carried by speech, analyses were conducted on motion-captured data of several speakers during natural dialogues. The a...

Paralinguistic cues in children’s speech convey the child’s affective state and can serve as important markers for the early detection of autism spectrum disorder (ASD). In this paper, we detect paralinguistic events, such as laughter and fussing/crying, along with toddlers’ speech from the Multi-modal Dyadic Behavior Dataset (MMDB). We use both spectral and prosodic acoustic features selected ...

The emotion detection work reported here is part of a larger study aiming to model user behavior in real interactions. We already studied emotions in a real-life corpus with human-human dialogs on a financial task. We now make use of another corpus of real agent-caller spoken dialogs from a medical emergency call center in which emotion manifestations are much more complex, and extreme emotions...

This study examines the perception of paralinguistic intonational meanings deriving from Ohala's Frequency Code (Experiment 1) and Gussenhoven's Effort Code (Experiment 2) in British English and Dutch. Native speakers of British English and Dutch listened to a number of stimuli in their native language and judged each stimulus on four semantic scales deriving from these two codes: SELF-CONFIDEN...

Qualitative analyses are conducted in spontaneous dialogue speech of several speakers, to verify the paralinguistic roles of breathy/whispery voice qualities in communication. Analyses show that breathy/whispery voices carry a variety of emotionor attitude-related paralinguistic information. Breathiness often appeared in emphasized words/phrases, having the effect of calling/catching the listen...

Multiple cues interact to signal multiple functions in intonation simultaneously which makes intonation notoriously complex to analyze. The Autosegmental-Metrical model for intonation analysis has proved to be an excellent vehicle for separating the components, but evidence for the phonetics/phonology dichotomy on which it hinges has proved elusive. Advocating a multidisciplinary approach, this...

The development of theories about form-function relations in intonation should be informed by a better understanding of the dependencies that hold among different phonetic parameters. Fine phonetic detail encodes both linguistically structured meaning and paralinguistic meaning.

Objective: There is a large theoretical literature regarding stock market manipulation. However, empirical evidence of manipulation remains scare especially in emerging markets like Iran. So, it is vital to detect and prevent. Manipulation distorts prices, thereby reducing market efficiency and harms public confidence. Distorted prices increase market volatility and risk. This study empirically...

Laughter is one of the most important paralinguistic events, and it has specific roles in human conversation. The automatic detection of laughter occurrences in human speech can aid automatic speech recognition systems as well as some paralinguistic tasks such as emotion detection. In this study we apply Deep Neural Networks (DNN) for laughter detection, as this technology is nowadays considere...

In this paper we investigate the performance of different classification paradigms, testing each with a range of acoustic features, to find a system that is well suited to speaker likeability classification. We introduce a Sparse Representation Classifier for paralinguistic classification and explore the role of training data selection for a GMM classifier. Results demonstrate that (1) Single d...