A neurobiological strategy for exploring links between emotion recognition in music and speech

2008 ◽  
Vol 31 (5) ◽  
pp. 589-590 ◽  
Author(s):  
Aniruddh D. Patel
Keyword(s):  
Emotion Recognition ◽  
Instrumental Music ◽  
Music Perception ◽  
Neural Systems ◽  
Affective Prosody ◽  
Musical Affect

AbstractAre the neural systems involved in recognizing affective prosody in language also used for emotion recognition in instrumental music? One way to test this idea is to study musical affect perception in patients with receptive affective aprosodia (RAA). Music perception in RAA is totally unexplored and could provide a powerful way to test the idea that we perceive music as a kind of emotional voice.

Cognición social en niños con trastorno por déficit de atención con hiperactividad: una revisión narrativa de la literatura

2019 ◽  
Vol 24 (2) ◽  
pp. 43-58
Author(s):  
Ma. Guillermina Yáñez-Téllez ◽  
Daniel Hernández-Torres
Keyword(s):  
Social Cognition ◽  
Theory Of Mind ◽  
Emotion Recognition ◽  
Pragmatic Language ◽  
Affective Prosody ◽  
Palabras Clave

Los niños con trastorno por déficit de atención con hiperactividad (TDAH) presentan problemas en la interacción social, los cuales pueden ser atribuidos a deficiencias en la cognición social (CS), no obstante, esta función ha sido poco estudiada en esta población. El objetivo de este trabajo fue realizar una revisión de la literatura de los últimos 18 años acerca de la CS en niños con TDAH, en los subdominios de teoría de la mente, reconocimiento de emociones en rostros, lenguaje pragmático y prosodia afectiva. Se realizó una búsqueda en las bases de datos PubMed y Scopus, combinando las siguientes palabras clave: “ADHD”, “social cognition”, “theory of mind”, “emotion recognition”, “pragmatic language” y “affective prosody”. Se seleccionaron artículos desde el 2000 hasta el 2018. El reconocimiento de emociones en rostros es el déficit en CS más reportado, encontrándose fallas en la comprensión de gestos de miedo, tristeza, felicidad y enojo, aunque no de manera consistente. Asimismo, se reportan deficiencias en la teoría de la mente, principalmente en la referencia social, entendimiento de emociones básicas, metarrepresentaciones, inferencias de segundo orden y comprensión de juicios sociales complejos.

scholarly journals Cortical Regions for Judgments of Emotions and Personality Traits from Point-light Walkers

2004 ◽  
Vol 16 (7) ◽  
pp. 1143-1158 ◽  
Author(s):  
Andrea S. Heberlein ◽  
Ralph Adolphs ◽  
Daniel Tranel ◽  
Hanna Damasio
Keyword(s):  
Personality Traits ◽  
Emotion Recognition ◽  
Personality Trait ◽  
Normal Subjects ◽  
Neural Systems ◽  
Emotional States ◽  
Primary Focus ◽  
Neurologically Normal ◽  
Cortical Regions ◽  
Point Light

Humans are able to use nonverbal behavior to make fast, reliable judgments of both emotional states and personality traits. Whereas a sizeable body of research has identified neural structures critical for emotion recognition, the neural substrates of personality trait attribution have not been explored in detail. In the present study, we investigated the neural systems involved in emotion and personality trait judgments. We used a type of visual stimulus that is known to convey both emotion and personality information, namely, point-light walkers. We compared the emotion and personality trait judgments made by subjects with brain damage to those made by neurologically normal subjects and then conducted a lesion overlap analysis to identify neural regions critical for these two tasks. Impairments on the two tasks dissociated: Some subjects were impaired at emotion recognition, but judged personality normally; other subjects were impaired on the personality task, but normal at emotion recognition. Moreover, these dissociations in performance were associated with damage to specific neural regions: Right somatosensory cortices were a primary focus of lesion overlap in subjects impaired on the emotion task, whereas left frontal opercular cortices were a primary focus of lesion overlap in subjects impaired on the personality task. These findings suggest that attributions of emotional states and personality traits are accomplished by partially dissociable neural systems.

Instrumental Music Design

2019 ◽  
pp. 255-274 ◽  
Author(s):  
Brayan Mauricio Rodriguez ◽  
Carlos Arce-Lopera ◽  
Ana M. Arboleda ◽  
Javier Diaz-Cely ◽  
Julian Correa ◽  
...  
Keyword(s):  
Task Performance ◽  
Instrumental Music ◽  
Music Perception ◽  
Emotional State ◽  
Experimental Results ◽  
Task Completion ◽  
Complex Task ◽  
Specific Interactions ◽  
Web Interface ◽  
Cognitively Demanding Tasks

The authors describe the importance of music design for background instrumental music and the effect on task performance. Three instrumental music conditions that differ in tempo, articulation, mode, and musical meter were tested using a complex task scenario. The task was performed using a complicated web-interface that required users to focus their attention and perform several specific interactions for successfully finishing the task. All the interactions with the interface were recorded. Moreover, a mixed assessment of the emotional state, perceived task performance, and music perception was asked to participants upon task completion. Experimental results revealed that music design has complex effects on task performance and emotion. Also, the results revealed important trends that can help design music environments to control frustration when confronted to complex and cognitively demanding tasks.

Emotion recognition via facial expression and affective prosody in schizophrenia

2002 ◽  
Vol 22 (6) ◽  
pp. 789-832 ◽  
Author(s):  
Jane Edwards ◽  
Henry J Jackson ◽  
Philippa E Pattison
Keyword(s):  
Facial Expression ◽  
Emotion Recognition ◽  
Affective Prosody

scholarly journals Speech Emotion Recognition Using Deep Learning Techniques

2016 ◽  
Vol 5 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Apoorva Ganapathy ◽  
Keyword(s):  
Deep Learning ◽  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Neural Systems ◽  
Emotion Detection ◽  
Learning Methods ◽  
Computer Interfaces ◽  
Human Computer Interfaces ◽  
Learning Techniques ◽  
Actual Speech

The developments in neural systems and the high demand requirement for exact and close actual Speech Emotion Recognition in human-computer interfaces mark it compulsory to liken existing methods and datasets in speech emotion detection to accomplish practicable clarifications and a securer comprehension of this unrestricted issue. The present investigation assessed deep learning methods for speech emotion detection with accessible datasets, tracked by predictable machine learning methods for SER. Finally, we present-day a multi-aspect assessment between concrete neural network methods in SER. The objective of this investigation is to deliver a review of the area of distinct SER.

scholarly journals Please Don’t Stop the Music: Commentary on “Musical Sounds, Motor Resonance, and Detectable Agency”

2015 ◽  
Vol 10 (1-2) ◽  
pp. 46 ◽  
Author(s):  
Istvan Molnar-Szakacs
Keyword(s):  
Music Perception ◽  
Social Experience ◽  
Neural Systems ◽  
Music Listening ◽  
Motor Resonance ◽  
Emotional Empathy ◽  
Human Agent ◽  
Expression Of Emotion ◽  
Social Belonging ◽  
Musical Sounds

Music allows the expression of emotion, evokes pleasure, and creates the sense of social belonging. Surprisingly, since the advent of recorded music, asocial music listening has become increasingly popular. Launay (2015) presents the argument that music is imbued with qualities that allow the listener to attribute it with agency, thus, making music listening a fundamentally social experience, even in the absence of a human agent. I agree that music listening is an inherently social experience for humans, and propose that the biological correlates of music’s inherent sociality lie in the study of the interaction of neural systems of empathy, motor resonance, and pleasure and reward. However, where Launay dismisses emotional empathy as peripheral to the music perception question, I propose that it is indeed central to the mystery of the universal power of music.

scholarly journals Recognition of Facial Emotion and Affective Prosody in Children at High Risk of Criminal Behavior

2018 ◽  
Vol 25 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Lisette van Zonneveld ◽  
Leo de Sonneville ◽  
Stephanie van Goozen ◽  
Hanna Swaab
Keyword(s):  
High Risk ◽  
Emotion Recognition ◽  
Criminal Behavior ◽  
Risk Group ◽  
Negative Emotion ◽  
Underlying Mechanism ◽  
High Risk Group ◽  
Hostile Attribution Bias ◽  
Facial Emotion ◽  
Affective Prosody

AbstractObjective: Emotion recognition is an important aspect of emotion processing, which is needed for appropriate social behavior and normal socialization. Previous studies in adults with antisocial personality disorder or psychopathy, in those convicted of criminal behavior, or in children with conduct disorder show impairments in negative emotion recognition. The present study investigated affective facial and prosody recognition in a sample of children at high risk of developing future criminal behavior. Methods: Participants were 8- to 12-year-old children at high risk of developing criminal behavior (N=219, 83.1% boys) and typically developing controls (N=43, 72.1% boys). The high-risk children were recruited through an ongoing early intervention project of the city of Amsterdam, that focuses on the underage siblings or children of delinquents, and those failing to attend school. Facial and vocal recognition of happy, sad, angry, and fear was measured with the Facial Emotion Recognition (FER) test and the prosody test of the Amsterdam Neuropsychological Tasks (ANT), respectively. Results: The high-risk group was significantly worse in facial affect recognition and had particular problems with fear and sadness recognition. No hostile attribution bias was found. The high-risk group did not differ from controls in affective prosody recognition but needed significantly more time to recognize emotions. Conclusions: The emotion-specific deficits found in forensic and clinical populations are already present in a sample of children at high risk of developing future criminal behavior. These findings help us understand a possible underlying mechanism of antisocial behavior that could provide directions for tailored interventions. (JINS, 2019, 25, 57–64)

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