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- Musical AIs have the potential to improve treatment efficiency and diversify treatment, aligning with both the technological practices and needs of music therapists identified in prior research (Baglione et al., 2021). Current musical AIs can generate music in specific musical genres and define the instrument combinations.
arxiv.org/html/2402.14503v2Understanding Human-AI Collaboration in Music Therapy Through ...
There is evidence that AI music generation technology can improve patients' therapeutic participation in music therapy and analyze the therapeutic needs of specific individuals to create personalized therapeutic music that is diverse and applicable. Challenges and constraints are outlined.
MusiciAI introduces an advanced generative model designed to harness the healing power of music through a novel hybrid approach. Combining a Cross-Modal Transformer and a Variational Autoencoder, MusiciAI interprets textual prompts and generates diverse, emotionally resonant music.
Mar 15, 2024 · In the context of music therapy, AI can execute musically expressive performance from symbolic notation, facilitate interactive improvisation, or simulate human-like recognition and responses to musical expression.
Oct 24, 2023 · With the ongoing development in AI technology, the trail for AI music therapy is poised to elevate it to an important role in treatment. This advancement provides well for those pursuing emotional and psychological well-being, especially those with limited access to conventional music therapy.
Sep 16, 2024 · Anxiety and Stress Reduction: AI-generated music can help individuals manage anxiety and stress by inducing relaxation and calming the mind. Mood Elevation: Music tailored to specific moods...
Feb 26, 2024 · Such technologies could have the potential to increase the effectiveness of music therapy. For example, musical AIs could help therapists better understand the relationship between music genres and human emotions and generate personalized therapeutic music (Rahman et al., 2021; Hu et al., 2020).
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Adversarial Generative Network (GAN), Long-Short Time Memory (LSTM), and other neural networks learn data from prepared MIDI (Musical Instrument Digital Interface) files with therapeutic effects. Moreover, they generate recommendations of new therapeutic music of specific genres for users, helping them to perceive the style and structure of the ...
