This project was created for the Graded Unit module during first year in college. All of the audio used was recorded, mixed and mastered myself. This project was my introduction to working as Audio Designer. The game pictured is FIFA 2020.

This project was created for the Graded Unit module during first year in college. All of the audio used was recorded, mixed and mastered myself. This project was my introduction to working as Audio Designer. This game was also the first time I was able to work with voice actors which was a good experience. The game pictured is Firewatch.

This project was created for the Graded Unit module during first year in college. All of the audio used was recorded, mixed and mastered myself. This project was my introduction to working as Audio Designer. The game pictured is The Stillness of the Wind.

This group project was created for my Converging Technologies for AV (CTAV) university module. I was responsible for creating the MaxMSP based mixing desk. This mixing desk I designed also has a native effects rack, which consists of a reverb unit, a pitch shifter, and a stereo compressor. An interesting feature of this project is that the inputs are not manual, but are taken live from the comment section of the live stream that the system is implemented in. This text is then input into our Python program which then triggers specific commands (via OSC) that operate the mixing desk.

See full report here: CTAV Coursework Report. 

This group project was created for my Audio and Interactivity (A&I) university module. My main responsibility was to create a Wekinator based K-NN machine learning system. As the figurine moved between the main 3 sections of the map, the camera would send the data through max to Wekinator. Wekinator then analyses the data; and sends the classification (based on training data) back to MaxMSP; which triggers the ambient sounds relevant to that location and sends the data back to Arduino; lighting the specific LED on the board. I then created a looping soundscape based on the three “zones” of the map (tavern, forest, cave) based on this “select” system, which would play and stop depending on the position of the figurine on the map.

See full report here: A&I Coursework Report.

This project was created for my Audio Processing and Effects (AP&E) university module. The aim of this project was to create earcons that can communicate urgency and also keep the driver informed of the actions and decisions made by a self-driving car. It was of the utmost importance when it came to the creation of safety systems for them to be backed by research so that is what was done. This project was created in MaxMSP and considered emotional reactions to specific frequencies and other audible signal changes.

See full report here: AP&E Coursework Report. 

This project was created for my Acoustic Modelling (AM) university module. The goal of this coursework was to investigate the acoustics of the Glasgow Caledonian University lecture theatre (A005). The acoustics of the room as well as the physical dimensions of the theatre were measured in order to assess the lecture theatre. With this information, a virtual model of A005 was created in EASE 4.4 for comparative purposes. 

See full report here: AM Coursework Report.

This project was created for my Spatial Audio (SA) university module. The concept for this coursework was to create a 360° video that encapsulated the urban ambience experienced in the city of Glasgow. Upon discussion, one key element that would be challenging to capture would be consistently unpredictable happenings that occur in the city of Glasgow. Therefore it was decided that adding a surreal twist to the ambient soundscape would be an entertaining way to parody this aforementioned unpredictability.

See full report here: SA Coursework Report.

This section will be updated upon completion of the module.