All Stories

  1. Barriers and Facilitators to Youth Participation in Digital Youth Mental Health Interventions: An Umbrella Review Protocol
  2. Investigating the Acceptability and Feasibility of Three Online Interventions for Caregivers of Infants with Feeding Difficulties
  3. Help me study! Music listening habits while studying
  4. Automated composition of Galician Xota—tuning RNN-based composers for specific musical styles using deep Q-learning
  5. ‘Talking’ about Music
  6. Music therapy interventions for eating disorders: Lack of robust evidence and recommendations for future research
  7. Background Music and Cognitive Task Performance: A Systematic Review of Task, Music, and Population Impact
  8. Measuring the Structural Complexity of Music: From Structural Segmentations to the Automatic Evaluation of Models for Music Generation
  9. POLYHYMNIA Mood - Coping with depression through music listening
  10. Music and Hypertonia: Can Music Listening Help Reduce Muscle Tension and Improve Movement Quality?
  11. Unveiling the Hierarchical Structure of Music by Multi-Resolution Community Detection
  12. Effect of music listening on hypertonia in neurologically impaired patients—systematic review
  13. The Influence of Sound-Based Interventions on Motor Behavior After Stroke: A Systematic Review
  14. Sincerity in Acted Speech: Presenting the Sincere Apology Corpus and Results
  15. Comments on comments by Cupchik (2019) and Jacobsen (2019).
  16. Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
  17. Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition
  18. Do Individual Differences Influence Moment-by-Moment Reports of Emotion Perceived in Music and Speech Prosody?
  19. Assessing emotional experiences of opera spectators in situ.
  20. MUSEBAQ
  21. Correction: Shared acoustic codes underlie emotional communication in music and speech—Evidence from deep transfer learning
  22. Evidence of emotion-antecedent appraisal checks in electroencephalography and facial electromyography
  23. Shared acoustic codes underlie emotional communication in music and speech—Evidence from deep transfer learning
  24. Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure
  25. Introducing the GEneva Music-Induced Affect Checklist (GEMIAC)
  26. Ask Alice: an artificial retrieval of information agent
  27. The effect of context and audio-visual modality on emotions elicited by a musical performance
  28. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments
  29. The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language
  30. Enhanced semi-supervised learning for multimodal emotion recognition
  31. Dynamic Active Learning Based on Agreement and Applied to Emotion Recognition in Spoken Interactions
  32. Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music
  33. Advances in Computational Psychophysiology
  34. On rater reliability and agreement based dynamic active learning
  35. Distributing Recognition in Computational Paralinguistics
  36. Transfer learning emotion manifestation across music and speech
  37. Singing and Emotion
  38. The effects of expert musical training on the perception of emotions in Bach’s Sonata for Unaccompanied Violin No. 1 in G Minor (BWV 1001).
  39. Letter from the guest editors.
  40. Cooperative Learning and its Application to Emotion Recognition from Speech
  41. Appraisal
  42. How music creates emotion
  43. Psychoacoustic cues to emotion in speech prosody and music
  44. Musical emotions: Predicting second-by-second subjective feelings of emotion from low-level psychoacoustic features and physiological measurements.
  45. Cognitive dissonance, knowledge instinct and musical emotions
  46. The Use of Spatio-Temporal Connectionist Models in Psychological Studies of Musical Emotions
  47. Emotion and Embodiment in Cognitive Agents: from Instincts to Music
  48. Towards a Model for Embodied Emotions
  49. Computational Musicology: An Artificial Life Approach
  50. Evolving Emotional Behaviour for Expressive Performance of Music
  51. A neural network model for the prediction of musical emotions