Vocal communication of emotion: A review of research paradigms

By Klaus R. Scherer. Speech Communication, 2003

1,805 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e58d460ecccb3c4e49f296c4bdf6774fced42966

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Citations in the corpus

Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features (2010, background): “…to be a viable channel for affect detection (Banse and Scherer 1996; Fernandez and Picard 2005; Johnstone and Scherer 2000; Lee and Narayanan 2005; Scherer 2003; Scherer and Ellgring 2007; Scherer et al. 2003), so there is the question of whether their inclusion will yield superadditive effects.”
Emotion and attention interactions in social cognition: Brain regions involved in processing anger prosody (2005, neutral): “Efficient processing of emotional cues, such as facial and vocal expressions, is critical during social interactions (see Russell et al., 2003; Scherer, 1986, 2003 ).”
The role of intonation in emotional expressions (2005, background): “Empirical studies on the contribution of intonation to the communication of emotion A large number of studies have investigated vocal correlates of emotional expressions (for recent reviews see Juslin and Laukka, 2003; and Scherer, 2003).”
Vocal Expression of Emotions in Mammals: Mechanisms of Production and Evidence (2012, background): “Therefore, vocal correlates of emotions in animals could serve as an interesting, simplified model of human affective prosody and provide evidence of a phylogenetic continuity of emotion vocalizations (Scherer, 2003; Juslin & Scherer, 2005).”
Social signal processing: Survey of an emerging domain (2009, background): “The prosody conveys a wide spectrum of socially relevant cues: emotions like anger or fear are often accompanied by energy bursts in voice (shouts) [168], the pitch influences the perception of dominance and extroversion (in general it is a personality marker [167]), the speaking fluency (typically ”
Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016, background): “It is well accepted amongst the research community that certain acoustic and prosodic features play an important role in recognising the affective state [28].”
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text (2007, background): “In contrast with these pragmatic phenomena, which may be relatively contextualised or short-lived, personality is usually considered to be a longer term, more stable, aspect of individuals (Scherer, 2003).”
Automatic speech emotion recognition using modulation spectral features (2011, methodology): “7), corroborating findings in previous studies (Cowie et al., 2001; Scherer, 2003).”
Does prosody make the difference? A meta-analysis on relations between prosodic aspects of infant-directed speech and infant outcomes. (2017, background): “Developmental Review (2017), http://dx.doi.org/10.1016/j.dr.2016.12.001 high-intensity positive emotions, such as joy, have been consistently described as expressed with increased F0 mean and variability (Scherer, 2003).”
Automatic speech recognition and speech variability: A review (2007, background): “It is recognized that a speaker mood change has a considerable impact on the features extracted from his speech, hence directly affecting the basis of all speech recognition systems (Cowie and Cornelius, 2003; Scherer, 2003).”
Interjections and Emotion (with Special Reference to “Surprise” and “Disgust”) (2014, background): “Among psychologists, the main figure who has managed to keep vocalization alive as a topic is Klaus Scherer (1994, 2003), albeit his primary interest has been in prosody.”
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing (2012, neutral): “…in Ethology, a cue is any feature of the world or property of an organism that influences an animal's behavior [44]; in Psychology, a trait or state works as an indicator, encompassing single cues that, once received as a percept, are attributed information through a decoding process [45].”
Emotional speech recognition: Resources, features, and methods (2006, methodology): “In the future, the emotional speech research will primarily be benefited by the on-going availability of large-scale emotional speech data collections, and will focus on the improvement of theoretical models for speech production (Flanagan, 1972) or models related to the vocal communication of emoti”
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2016, neutral): “The set is intended to provide a common baseline for evaluation of future research and eliminate differences caused by varying parameter sets or even different implementations of the same parameters.”