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    • Image courtesy of cirmmt.org

      cirmmt.org

      • By incorporating machine learning into music therapy, it becomes possible to predict and optimize therapeutic interventions for individual patients based on their unique needs and responses. A machine learning-powered music therapy platform can generate personalized music therapy sessions by analyzing users’ data and feedback from the forms.
      medium.com/sojo-ai/sojo-ai-a-machine-learning-powered-music-therapy-platform-63f24dbb7c12
  1. Mar 1, 2020 · Machine learning techniques can support music therapy practice. Abstract. Background. The literature shows the effectiveness of music listening, but which factors and what types of music produce therapeutic effects, as well as how music therapists can select music, remain unclear.

    • Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
    • 2020
  2. Jan 25, 2024 · This paper introduces the development of a machine learning-powered music therapy platform, SOJO AI, which personalizes therapeutic music sessions based on user feedback and data.

    • Ivan Chen
  3. Oct 24, 2023 · The report outlines the creation of a machine learning model that predicts the therapeutic efficacy of particular songs for specific individuals, considering musical and emotional characteristics, as well as solfège ear training frequency. The model classifies music into four emotional categories: happy, sad, energetic, or calm.

  4. Jan 14, 2023 · Because previous studies have not thoroughly addressed the relationship between music features and their therapeutical effects via audio signal processing, this paper proposed a Machine Learning solution for recognizing the therapeutic effect conveyed by music.

    • 10.3390/s23020986
    • 2023/01
    • Sensors (Basel). 2023 Jan; 23(2): 986.
  5. Mar 1, 2020 · Machine learning techniques can support music therapy practice. Abstract. Background. The literature shows the effectiveness of music listening, but which factors and what types of music produce therapeutic effects, as well as how music therapists can select music, remain unclear.

  6. The strong subjectivity of therapeutic music listening suggests the use of machine learning techniques as an important and innovative approach to supporting music therapy practice.

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  8. Nov 18, 2020 · Engaging in active listening and music-making activities (especially for at risk age groups) can be particularly beneficial, and the practice of music therapy has been shown to be helpful in a range of use cases across a wide age range.

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