ML-AL Ableton M4L

Giuseppe Torre

doi:https://hdl.handle.net/10344/10679

ML-AL Ableton M4L

Giuseppe Torre (Developer)

Research output: Non-textual form › Software

Abstract

A Max4Live plugin deploying machine learning capabilities to Ableton Live music software.

Original language	English (Ireland)
Media of output	Online
DOIs	https://doi.org/https://hdl.handle.net/10344/10679
Publication status	Published - 2014

Keywords

max for live
machine learning
music
gesture recognition

Access to Document

https://hdl.handle.net/10344/10679

Cite this

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title = "ML-AL Ableton M4L",

abstract = "A Max4Live plugin deploying machine learning capabilities to Ableton Live music software.",

keywords = "max for live, machine learning, music, gesture recognition",

author = "Giuseppe Torre",

year = "2014",

doi = "https://hdl.handle.net/10344/10679",

language = "English (Ireland)",

}

TY - ADVS

T1 - ML-AL Ableton M4L

A2 - Torre, Giuseppe

PY - 2014

Y1 - 2014

N2 - A Max4Live plugin deploying machine learning capabilities to Ableton Live music software.

AB - A Max4Live plugin deploying machine learning capabilities to Ableton Live music software.

KW - max for live

KW - machine learning

KW - music

KW - gesture recognition

UR - https://hdl.handle.net/10344/10679

U2 - https://hdl.handle.net/10344/10679

DO - https://hdl.handle.net/10344/10679

M3 - Software

ER -

ML-AL Ableton M4L

Abstract

Keywords

Access to Document

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Machine Learning within Ableton Live

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ML-AL Ableton M4L

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Activities

Machine Learning within Ableton Live

Cite this