Editing Algorithmic composition (section)

===Translational models===
This is an approach to music synthesis that involves "translating" information from an existing non-musical medium into a new sound. The translation can be either rule-based or [[stochastic]]. For example, when translating a picture into sound, a [[JPEG]] image of a horizontal line may be interpreted in sound as a constant pitch, while an upwards-slanted line may be an ascending scale. Oftentimes, the software seeks to extract concepts or metaphors from the medium, (such as height or sentiment) and apply the extracted information to generate songs using the ways music theory typically represents those concepts. Another example is the translation of text into music,<ref name="TransProse: Generating Music From Text" >{{cite journal | last=Davis|first=Hannah| title= Generating Music from Literature| url=https://archive.org/details/arxiv-1403.2124| journal= Proceedings of the EACL Workshop on Computational Linguistics for Literature|pages=1–10| year =2014|arxiv=1403.2124|doi=10.3115/v1/W14-0901|bibcode=2014arXiv1403.2124D|s2cid=9028922}}</ref><ref name="Generating Music From Text" >{{cite web |url=http://www.musicfromtext.com/ |title=Generating Music from Text }}</ref> which can approach composition by extracting sentiment (positive or negative) from the text using [[machine learning]] methods like [[sentiment analysis]] and represents that sentiment in terms of chord quality such as minor (sad) or major (happy) chords in the musical output generated.