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- 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.
pubmed.ncbi.nlm.nih.gov/31710983/Machine learning techniques to predict the effectiveness of ...
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
Mar 15, 2024 · Using machine learning algorithms, AI can analyze patterns and features in music, generate personalized playlists, or even compose therapeutic music tracks tailored for individual patients.
Feb 5, 2024 · The intersection of AI and music therapy represents a frontier where innovation meets compassion, as algorithms and machine learning algorithms are harnessed to tailor therapeutic...
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.
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.
- Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
- 2020
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.
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Which and how music can be selected in therapeutic treatments are unclear points. • Decision trees enable finding therapeutic predictivity factors of music interventions in healthy participants. • Machine learning techniques can support music therapy practice.
