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  1. 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
  2. Oct 24, 2023 · In contrast, AI music therapy platforms, such as Waterpaths, offer a cost-effective and customizable alternative. With basic memberships priced at a mere $360 per year, these platforms are positioned to provide users with greater flexibility and accessibility.

  3. Mar 15, 2024 · Numerous research efforts are advancing the integration of AI into music therapy. Studies have demonstrated the potential of machine learning in deciphering musical qualities— like rhythm, pitch, and harmony— and correlating them with therapeutic outcomes.

  4. Feb 26, 2024 · After the workshops, we summarised the music therapy workflow and identified the musical AI opportunities in each stage. We offer a deep understanding of the potential benefits and concerns that musical AIs may bring to music therapy from the perspective of music therapists.

  5. 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.

  6. 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.

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  8. May 11, 2024 · By collaborating with music therapists, we explored design opportunities for musical AIs in music therapy. We presented the co-design outcomes involving the integration of musical AIs into a music therapy process, which was developed from a theoretical framework rooted in emotion-focused therapy.

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