Pith. sign in

REVIEW

ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2401.07084 v1 pith:N4RAYE2S submitted 2024-01-13 cs.MM cs.SDeess.AS

classification cs.MMcs.SDeess.AS
keywords musicfilmgenerationphasesentimentarchitecturesmovieprocess
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Film scores are considered an essential part of the film cinematic experience, but the process of film score generation is often expensive and infeasible for small-scale creators. Automating the process of film score composition would provide useful starting points for music in small projects. In this paper, we propose a two-stage pipeline for generating music from a movie script. The first phase is the Sentiment Analysis phase where the sentiment of a scene from the film script is encoded into the valence-arousal continuous space. The second phase is the Conditional Music Generation phase which takes as input the valence-arousal vector and conditionally generates piano MIDI music to match the sentiment. We study the efficacy of various music generation architectures by performing a qualitative user survey and propose methods to improve sentiment-conditioning in VAE architectures.

Discussion (0). Continue with ORCID to comment.

Pith tools