2015•SMARTech Repository (Georgia Institute of Technology)Open access

Data-to-music API: Real-time data-agnostic sonification with musical structure models

Takahiko Tsuchiya, Jason Freeman, Lee W. Lerner

Open full text 11 citations

Abstract

Presented at the 21st International Conference on Auditory Display (ICAD2015), July 6-10, 2015, Graz, Styria, Austria.

About this research paper

What this paper is about

Presented at the 21st International Conference on Auditory Display (ICAD2015), July 6-10, 2015, Graz, Styria, Austria.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Presented at the 21st International Conference on Auditory Display (ICAD2015), July 6-10, 2015, Graz, Styria, Austria.

Key concepts: Sonification, Computer science, Musical, Data structure, Musical instrument, Auditory display, Human–computer interaction, Programming language

Back to paper search Browse research topics Original source

Data-to-music API: Real-time data-agnostic sonification with musical structure models — Research Paper | ScholarLens

Data-to-music API: Real-time data-agnostic sonification with musical structure models

About this research paper

What this paper is about

Why it matters

Key contribution

Method / approach

Main findings

Limitations

Applications

Available abstract

Related papers