Sentence examples for paralinguistic features from inspiring English sources

The present corpus was designed for the purpose of analysis of selected paralinguistic features in continuous speech and for preliminary examination of the vocal display of affective states.

Chapter 8, by David Caldwell, presents an interesting interdisciplinary study that compares the paralinguistic features of two distinct vocal performances: rapping and singing.

In addition to linguistic strategies, paralinguistic features such as emoticons, were used to enhance the interpersonal relationship between writer and recipient.

However, these simple averaging facial features may give some error hints for facial expression especially while the utterance is very short, or some paralinguistic features are included.

A salient disadvantage to the PSN network could lie in the audio-recorded nature of the test events, as paralinguistic features indicating biases are excluded from the standardisation process.

Drawing on van Leeuwen's (1999) paradigmatic approach to sound semiotics, Caldwell presents the paralinguistic features of the rap and the sung voice using a system network, capturing the systemic, meaningful choices that distinguish one voice from the other.

This paper integrates sequential, interactional and phonetic analyses to provide an account of how 'paralinguistic' features create meaning.

Figure 1 A framework for paralinguistic information extraction considering intonation-related prosodic features and voice quality features.

In a previous work [3], we have proposed a framework for extraction of paralinguistic information, considering both intonation-related prosodic features and voice quality features, as shown in Figure 1.

In order to achieve human-like competence in decoding emotions, such robots would need to measure and quantify the same sensory cues that are processed by humans, namely linguistic, paralinguistic, facial, body movement and physiological features.

The second and main aim of our study was to investigate such challenges by assessing the differences between Polish and British English in the profiles of joy, sadness, fear and anger on linguistic, paralinguistic, facial, body movement and physiological features.