The paper proposes a new structure-informed positional encoding framework for music generation with Transformers. The authors note that music generated by deep learning often lacks coherence and long-term organization, which…
Continue readingThis research explores the music experiences of deaf and hard of hearing (DHH) individuals. It reveals how DHH people use sign language and visual/haptic cues to experience music, and their…
Continue readingThis academic article by Geoff Luck reviews how artificial intelligence (AI) has been used to understand and estimate musical tempo. The author highlights the importance of tempo in expressing emotions,…
Continue readingThe researchers developed a generative music AI framework, Video2Music, capable of generating music to match a provided video. They created a unique collection of music videos, from which they extracted…
Continue readingThe article ‘Are words enough?’ explores the semantic conditioning of affective music generation. It discusses the growing use of natural language processing and deep learning models in music generation, conditioned…
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