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1. www.sciencedirect.com › science › articleMachine learning techniques to predict the effectiveness of ...

   www.sciencedirect.com › science › article

   Mar 1, 2020 · The present study compared algorithmic music (based on sonorous music features aimed at therapeutic effects) and individualized music listening (based on subjective choices) to find possible predictivity factors of effectiveness related to these two types of music listening approaches.

   • Author: Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...

   • Publish Year: 2020

2. pubmed.ncbi.nlm.nih.gov › 31710983Machine learning techniques to predict the effectiveness of ...

   pubmed.ncbi.nlm.nih.gov › 31710983

   Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods. Methods: Three hundred and twenty healthy participants were evenly distributed by age, education level, presence of musical training, and sex.

   • Author: Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...

   • Publish Year: 2020

3. pmc.ncbi.nlm.nih.gov › articles › PMC9861051Using Deep Learning to Recognize Therapeutic Effects of Music ...

   pmc.ncbi.nlm.nih.gov › articles › PMC9861051

   Although music has long been used in therapy, few intelligent/smart applications can assist and support the medical therapist in selecting the most appropriate songs for his patients. A. Raglio et al. used machine learning methods to identify the main predictors of the relaxation effects of listening to music. The authors assigned approximately ...

4. www.researchgate.net › publication › 336875366Machine Learning Techniques to Predict the Effectiveness of ...

   www.researchgate.net › publication › 336875366

   Oct 1, 2019 · Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods.

5. www.itm-conferences.org › articles › itmconfEffective prediction on music therapy using hybrid SVM-ANN ...

   www.itm-conferences.org › articles › itmconf

   scale score before and after listening music can predict and classify the music choice for music therapy. And we also aim to analyze the accuracy performance of various machine learning techniques like decision tree, random forest, Artificial Neural Network, Support Vector Machine, and hybrid SVM-ANN in this prediction. 3.

   • Author: K Devendran, S K Thangarasu, P Keerthika, R Manjula Devi, B K Ponnarasee

   • Publish Year: 2021

6. www.semanticscholar.org › paper › Machine-learningMachine learning techniques to predict the effectiveness of ...

   www.semanticscholar.org › paper › Machine-learning

   Oct 29, 2019 · 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.

7. People also ask

   Can machine learning predict music listening's relaxation effects?

   • Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods. Three hundred and twenty healthy participants were evenly distributed by age, education level, presence of musical training, and sex.

   Machine learning techniques to predict the effectiveness of music

   www.sciencedirect.com/science/article/pii/S0169260719301555

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   Does machine learning influence therapeutic music listening outcomes?

   • 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 approach to supporting music therapy practice. 1.

   Machine learning techniques to predict the effectiveness of music

   www.sciencedirect.com/science/article/pii/S0169260719301555

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   Can machine learning support music therapy practice?

   • 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. 1. Introduction Music listening is a widespread technique used by music therapists in various clinical settings , , , , , .

   Machine learning techniques to predict the effectiveness of music

   www.sciencedirect.com/science/article/pii/S0169260719301555

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   Does listening to music affect relaxation?

   • In that case, we are considering participants who rarely listen to music, have no musical training, have a low level of education, and prefer non-pop music genres. These participants seem to be less sensitive to music listening, with the actual relaxation effect of a listening session more difficult to predict.

   Machine learning techniques to predict the effectiveness of music

   www.sciencedirect.com/science/article/pii/S0169260719301555

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   How to predict music mood with deep learning?

   • Predicting the Music Mood of a Song with Deep Learning. A cool way to predict the mood of music tracks with Neural Networks models using Keras and Tensorflow Libraries on Python. Music is a powerful language to express our feelings and in many cases is used as a therapy to deal with tough moments in our lives.

   Predicting the Music Mood of a Song with Deep Learning

   towardsdatascience.com/predicting-the-music-mood-of-a-song-with-deep-learning-c3ac2b45229e

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   How can music be used in clinical settings?

   • Music listening is widely used in clinical settings to modulate arousal levels. 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.

   Machine learning techniques to predict the effectiveness of music

   www.sciencedirect.com/science/article/pii/S0169260719301555

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8. towardsdatascience.com › predicting-the-music-moodPredicting the Music Mood of a Song with Deep Learning.

   towardsdatascience.com › predicting-the-music-mood

   Aug 15, 2020 · A cool way to predict the mood of music tracks with Neural Networks models using Keras and Tensorflow Libraries on Python. Cristóbal V. ·. Follow. Published in. Towards Data Science. ·. 10 min read. ·. Aug 15, 2020. -- 4. Photo by Uriel Soberanes on Unsplash.