A Quantum Natural Language Processing Approach to Musical Intelligence

by   Eduardo Reck Miranda, et al.

There has been tremendous progress in Artificial Intelligence (AI) for music, in particular for musical composition and access to large databases for commercialisation through the Internet. We are interested in further advancing this field, focusing on composition. In contrast to current black-box AI methods, we are championing an interpretable compositional outlook on generative music systems. In particular, we are importing methods from the Distributional Compositional Categorical (DisCoCat) modelling framework for Natural Language Processing (NLP), motivated by musical grammars. Quantum computing is a nascent technology, which is very likely to impact the music industry in time to come. Thus, we are pioneering a Quantum Natural Language Processing (QNLP) approach to develop a new generation of intelligent musical systems. This work follows from previous experimental implementations of DisCoCat linguistic models on quantum hardware. In this chapter, we present Quanthoven, the first proof-of-concept ever built, which (a) demonstrates that it is possible to program a quantum computer to learn to classify music that conveys different meanings and (b) illustrates how such a capability might be leveraged to develop a system to compose meaningful pieces of music. After a discussion about our current understanding of music as a communication medium and its relationship to natural language, the chapter focuses on the techniques developed to (a) encode musical compositions as quantum circuits, and (b) design a quantum classifier. The chapter ends with demonstrations of compositions created with the system.



There are no comments yet.


page 1

page 2

page 3

page 4


Quantum Computer Music: Foundations and Initial Experiments

Quantum computing is a nascent technology, which is advancing rapidly. T...

Composition by Conversation

Most musical programming languages are developed purely for coding virtu...

Assisted music creation with Flow Machines: towards new categories of new

This chapter reflects on about 10 years of research in AI- assisted musi...

Creative Quantum Computing: Inverse FFT, Sound Synthesis, Adaptive Sequencing and Musical Composition

Quantum computing is emerging as an alternative computing technology, wh...

Artificial Musical Intelligence: A Survey

Computers have been used to analyze and create music since they were fir...

Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition

Traditionally, the way one evaluates the performance of an Artificial In...

Natural Language Processing for Music Knowledge Discovery

Today, a massive amount of musical knowledge is stored in written form, ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.