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Jan 14, 2023 · The experiment aims to create a machine-learning model that can predict whether a specific song has therapeutic effects on a specific person. The model considers a person’s musical and emotional characteristics but is also trained to consider solfeggio frequencies. During the training phase, a subset of the Million Dataset is used.
- Machine learning techniques to predict the effectiveness of ...
The resulting decision tree and analysis of this...
- Machine learning techniques to predict the effectiveness of ...
Mar 1, 2020 · This property distinguishes decision trees from other machine learning methods that provide a black-box-like model. From such a model, it is impossible (or at least difficult and time-consuming) to extract meaningful information that can support the domain experts in their daily activities.
- Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
- 2020
Jun 20, 2023 · The bagged machine learning model classified 74% of songs correctly. Hits were classified with 82% accuracy while flops were identified accurately 66% of the time. Model training used half of the synthetic data set (N = 5,000) using a bootstrapped evaluation of 5,000 observations per iteration for 1,000 iterations. Bars are standard deviations.
- Sean H. Merritt, Kevin Gaffuri, Paul J. Zak
- Front Artif Intell. 2023; 6: 1154663.
- 10.3389/frai.2023.1154663
- 2023
Oct 1, 2019 · The current paper focuses on identifying and predicting whether music has therapeutic benefits. A machine learning model is developed, using a multi-class neural network to classify emotions into ...
The resulting decision tree and analysis of this interpretable model makes it possible to find predictive factors that influence therapeutic music listening outcomes. The strong subjectivity of therapeutic music listening suggests the use of machine learning techniques as an important and innovative …
- Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
- 2020
Jan 1, 2023 · The experiment aims to create a machine-learning model that can predict whether a specific song has therapeutic effects on a specific person and considers a person’s musical and emotional characteristics but is also trained to consider solfeggio frequencies. Music is important in everyday life, and music therapy can help treat a variety of health issues. Music listening is a technique used ...
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Does machine learning influence therapeutic music listening outcomes?
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Can machine learning predict music listening's relaxation effects?
How accurate is machine learning in identifying hit songs?
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Is ML a new support tool for music therapy?
Mar 1, 2020 · 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. Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods.
