1 citations · 1 across the 3 of their papers we have counts for
3 papers · 1 filter
Of All StrIPEs: Investigating Structure-informed Positional Encoding for Efficient Music Generation
Manvi Agarwal, Changhong Wang, Gael Richard
While music remains a challenging domain for generative models like Transformers, a two-pronged approach has recently proved successful: inserting musically-relevant structural inf…
F-StrIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation
Manvi Agarwal, Changhong Wang, Gael Richard
While music remains a challenging domain for generative models like Transformers, recent progress has been made by exploiting suitable musically-informed priors. One technique to l…
Structure-informed Positional Encoding for Music Generation
Manvi Agarwal, Changhong Wang, Gaël Richard
Music generated by deep learning methods often suffers from a lack of coherence and long-term organization. Yet, multi-scale hierarchical structure is a distinctive feature of musi…