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    • 10th SmartData@PoliTO Workshop – Present and Future Directions
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      • On the dynamics of music virality and its relation with mainstream success
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      • Empowering Data Owners with Control in Outsourcing and Sharing Scenarios
    • SmartTalks
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    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
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Home » Publications » Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings

Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings

Giuseppe Concialdi, Alkis Koudounas, Eliana Pastor, Barbara Di Eugenio, Elena Baralis (2024) Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings, In: 2024 IEEE International Conference on Acoustics, Speech and Signal Processing

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