Generative Audio Models

AccoMontage is a model for accompaniment arrangement, a type of music generation task involving intertwined constraints of melody, harmony, texture, and music structure. AccoMontage generates piano accompaniments for folk/pop songs based on a lead sheet (i.e. a melody with chord progression). It first retrieves phrase montages from a database while recombining them structurally using dynamic programming. Second, chords of the retrieved phrases are manipulated to match the lead sheet via style transfer. Lastly, the system offers controls over the generation process. In contrast to pure deep learning approaches, AccoMontage uses a hybrid pathway, in which rule-based optimization and deep learning are both leveraged.

Source: AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Retrieval 1 25.00%
Template Matching 1 25.00%
Music Generation 1 25.00%
Style Transfer 1 25.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories