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Emotional Prosody Control for Speech Generation [PDF]
Interspeech 2021, 2021 Machine-generated speech is characterized by its limited or unnatural emotional variation. Current text to speech systems generates speech with either a flat emotion, emotion selected from a predefined set, average variation learned from prosody sequences in training data or transferred from a source style.
Sarath Sivaprasad +2 more
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Prosody based emotion recognition for MEXI [PDF]
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005 This paper describes the emotion recognition from natural speech as realized for the robot head MEXI. We use a fuzzy logic approach for analysis of prosody in natural speech. Since MEXI often communicates with well known persons but also with unknown humans, for instance at exhibitions, we realized a speaker dependent mode as well as a speaker ...
Anja Austermann +3 more
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Emotional speech processing at the intersection of prosody and semantics. [PDF]
PLoS ONE, 2012 The ability to accurately perceive emotions is crucial for effective social interaction. Many questions remain regarding how different sources of emotional cues in speech (e.g., prosody, semantic information) are processed during emotional communication.
Rachel Schwartz, Marc D Pell
doaj +1 more source
Mark my words: tone of voice changes affective word representations in memory. [PDF]
PLoS ONE, 2010 The present study explored the effect of speaker prosody on the representation of words in memory. To this end, participants were presented with a series of words and asked to remember the words for a subsequent recognition test. During study, words were
Annett Schirmer
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Inferring emotions from speech prosody: not so easy at age five. [PDF]
PLoS ONE, 2013 Previous research has suggested that children do not rely on prosody to infer a speaker's emotional state because of biases toward lexical content or situational context.
Marc Aguert +4 more
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Prosody, emotions, and… ‘whatever’
Interspeech 2007, 2007 We examine the role of prosody in cueing a scale of negative meanings associated with the use of whatever. The analysis of a corpus of elicited examples shows that the more negative the token, the more likely it is to have an additional pitch accent, extended duration, and expanded pitch range on the first syllable. These findings are analyzed as a
Stefan Benus +2 more
openaire +2 more sources
Associations between vocal emotion recognition and socio-emotional adjustment in children
Royal Society Open Science, 2021 The human voice is a primary channel for emotional communication. It is often presumed that being able to recognize vocal emotions is important for everyday socio-emotional functioning, but evidence for this assumption remains scarce.
Leonor Neves +4 more
doaj +1 more source
Frontiers in Psychology, 2015 In computerised technology, artificial speech is becoming increasingly important, and is already used in ATMs, online gaming and healthcare contexts. However, today’s artificial speech typically sounds monotonous, a main reason for this being the lack of
Rachel L. C. Mitchell, Yi eXu
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Emotional Prosody Processing in Schizophrenic Patients: A Selective Review and Meta-Analysis [PDF]
Journal of Clinical Medicine, 2018 Hongwei Ding
exaly +2 more sources
Frontiers in Psychiatry, 2014 Background : The recognition of the emotion expressed during conversation relies on the integration of both semantic processing and decoding of emotional prosody. The integration of both types of elements is necessary for social interaction. No study has
Perrine eBrazo +7 more
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