Giter VIP home page Giter VIP logo

David Ronan's Projects

emotion-music-production-quality icon emotion-music-production-quality

It is commonly known that music expresses emotion. In music production, the role of the mix engineer is to take a piece of recorded music and convey the emotions expressed as professionally sounding as possible. This is achieved through the manipulation of the recorded audio by applying signal processing techniques. In this work, we investigated the relationship between music production quality and musically induced and perceived emotions. We performed a listening test where 10 critical listeners and 10 non-critical listeners evaluated 10 songs. There were two mixes of each song, the low quality mix and the high quality mix, where the mixes were rated for mix quality in a previous independent experiment. We measured each participant’s subjective experience, peripheral physiological changes, change in facial expressions and the number of head nods and shakes they made as they listened to each mix. By examining self-report scores, we showed that music production quality has more of an emotional impact on critical listeners. We also showed through facial expression analysis and head nod-shake detection that critical listeners have significantly different emotional responses to non-critical listeners for the high quality mixes and to a lesser extent the low quality mixes. These findings have implications on the importance of a mix engineer's skill to a typical listener. The findings suggest that having a high level of skill in mix engineering only seems to matter in an emotional context to a subset of music listeners that happen to be in a minority, such as those with critical listening skills.

music-axions icon music-axions

Code repo for the sound installation I was involved in based on Dark Matter. https://www.iamanagram.com/DarkMatterRadio.php

pyswarms icon pyswarms

A research toolkit for particle swarm optimization in Python

sfx-subgrouping icon sfx-subgrouping

D. Moffat, D. Ronan, and J. D. Reiss, Unsupervised Taxonomy of Sound Effects. Edinburgh, UK: DAFx-17, 2017.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.