Callum Penny

Ride Or Life Recording 

Description: Recorded in the comfort of my own home, this project was me dipping my toes into working with a band, but after getting some friends together and filming the whole process, it became much more than that. Fully mixed, produced, and edited by myself and performed with some incredible artists, Ride Or Life is a multi-disciplined, highly produced piece featuring three songs, three videos to accompany, and a whole lot of love and talent. With a full social media presence, complete visual branding, and rigid documentation to help others understand the process, we hope you enjoy and can see for yourself how much you can do just in your dining room. 

Thanks to Matt, Andrew, Blade, Ethan, and Maddy for all the help and support 



Allanah Speyers

SCREEN – songs for Film

Screen – Songs for Film is a sound project created by Allanah Speyers. This project was in collaboration with the third-year Screen Production students to deliver multiple musical soundtracks for short films being made within the year. All songs were recorded, edited, and mixed by Speyers with the aim to showcase skills in music composition and arranging, sound engineering, and audio production.  

Allanah Speyers would like to thank Bryn Larkin, William Lee, Robert Montgomery, Angela Lazakar, Kim Williamson, Tyla Hancock, Scott Amondson, Ethan Vale, Carmel Fox, Rosie Thompson, Al Bruce, Emily Parker, John Bassett, and Leo Murray for their support on this project.  



Jack Brommecker

Genre is one of the primary ways through which music is organized for purposes ranging from commercial music distribution to communicating personal preferences between individuals. Automatic music genre recognition introduces machine learning solutions to address the problem of organizing the massive and ever-growing amount of music content available and offers adjacent applications in music recommendations and even speech recognition. Jack’s project involves the development of a flexible program that is able to generate genre prediction models derived from different machine learning algorithms that consider any combination of almost 90 discrete features extracted from audio waveform data. These models can predict the genre probabilities of any audio input, with the highest-performing prediction models suggesting verification accuracies above 80% of predicting between 10 genres. 




Jesse Muir

Early into semester 1, an investigation was carried out to determine how humans respond to certain sounds. People of all ages, ethnicity, and history of mental health were invited to participate in a survey tasked with providing a range of audio spectacles. These sounds were dynamic in intensity, dBs, genre, and inspiration, all designed to evoke emotions unique to each individual listener. The result of this, further academic research and the advice of professional and licensed practitioners, is a 10-minute long journey through 3 fictional landscapes that includes sounds that the participants responded to most positively. 

This is a fundamental technique of Musical Therapy called Music Imagery, which is a practice designed to cater to clients with cognitive and mental disorders.  

Recently a further study was carried out where random participants listened to this very piece, there was an overall increase in mood and motivation scores. 



Max Braine

The Big Apple is a radio play where the listener takes on the POV perspective of Spider-Man.  

We follow Spider-Man through the Chelsea district of Manhattan in the evening/early morning, as he navigates some of the struggles of keeping a super hero identity secret. We get to experience saving someone from muggers, web swinging, wall crawling and the ambience of Manhattan. 

Using various effects, we can experience what Spider-Man would hear through the left and right channels of our headphones, creating an immersive experience for listeners. Regardless of whether or not you are a Spider-Man fan, this will prove to be a one of a kind listening experience! 



Max Braine

AUDIO MINDFULNESS by MAX PERIN 

Audio Mindfulness is a program developed by Murdoch University in partnership with The Fulcrum Agency to give students a method of practicing mindfulness whilst in a study environment. I have produced 5 relaxing mindfulness meditation tracks to relieve the stress and anxiety of students studying in the new Murdoch University Building 360.  

Body, Mind, Emotion, Environment, and Persona are the names of the tracks and consist of appropriate sound effects, music, and a guided voice narrator. Each track focuses on a specific aspect of human experience to give students a variety of choices and greater mental assistance throughout their study journeys.  



Michael Heffernan


For CRE-312, I have created and helped integrate a soundtrack for the student-developed game Mobility. The game is a first-person shooter based around using bounce pads and wall running to traverse a series of difficult platforming stages and complete them as fast as possible. I have developed sound effects to make the game more cathartic and satisfying to play and seven musical tracks to heighten the intensity and the excitement of the experience. Additionally, I aimed to make each of the sound effects and music tracks feel cohesive together and an extension of the game’s aesthetics.