Composition by Conversation

Abstract

Most musical programming languages are developed purely for coding virtual instruments or algorithmic compositions. Although there has been some work in the domain of musical query languages for music information retrieval, there has been little attempt to unify the principlesof musical programming and query languages with cognitive and natural language processing models that wouldfacilitate the activity of composition by conversation. We present a prototype framework, called MusECI, that mergesthese domains, permitting score-level algorithmic composition in a text editor while also supporting connectivity toexisting natural language processing frameworks.

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2017
Accession Number
AD1193285

Entities

People

  • Clayton T. Morrison
  • Donya Quick

Organizations

  • Stevens Institute of Technology
  • University of Arizona

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Domain Specific Programming Languages
  • Information Retrieval
  • Language
  • Linguistics
  • Mobile Devices
  • Models
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Ontologies
  • Programming Languages
  • Signal Processing
  • Standards

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Educational Psychology
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation