We’ve updated our Terms of Use to reflect our new entity name and address. You can review the changes here.
We’ve updated our Terms of Use. You can review the changes here.

30 Epoch Opus - EP

by Stephen Roddy



30 Epoch Opus, is a short EP of AI-driven music. It features 4 musical works in diverse styles. The harmonic materials (melodies and harmonies) for each piece were composed using deep learning models both of which had an LSTM-based architecture.

The models were trained on MIDI renderings of the tracks from Def Leppard's 1987 classic Hysteria. However, I couldn’t find a good version of the song Excitable so I used Photograph instead. Although that track appears on the 1984 album Pyromania, it shares a similar aesthetic to the tracks on Hysteria. The models were specifically trained on the guitar and bass lines with singing and drum information removed.

The instruments and timbres that have been chosen to synthesise (or sound out) these materials were provided by the composer rather than either of the models. Instead, 4 distinct approaches to texture and timbre were employed, 3 of which involve the manipulation of samples to some degree while the fourth approach involved modal synthesis. The result is 4 pieces with markedly different sonic palettes spanning electronic, noise, and pseudo-contemporary styles.

To create interesting harmonic/melodic results, the model used for the first 3 tracks is left partially underfit and uses highly novel input data chosen for its originality. This underfitting allows some features present in the original data to “shine through” but prevents the material from becoming an overly generalised representation of the inputs. This leaves space for an element of chance and surprise in the output. The model architecture and hyperparameters have been selected to support this approach. The model used for the fourth track, 100 Epoch Opus, is much better fit to its training data. The originality of the harmonic materials here stems from a process of trial and error where a large number of outputs were auditioned before novel material presented itself.

More info on the wider project here:

In 2022 I released a follow-up EP entitled Darkness Visible, that explored generative music composition from a non-machine learning angle: stephenroddy.bandcamp.com/album/ep-darkness-visible

Released July 14, 2021

Composed & Produced by Stephen Roddy.
Recorded at Lava Wall Studios between September 2019 and July 2021.


released July 14, 2021


all rights reserved



Stephen Roddy Cork, Ireland

“An experimental composer from Ireland, Stephen Roddy proves equally adept at crushing soundscapes as he does mysterious melodies.”

- Bandcamp New & Notable Mar 13, 2022.

contact / help

Contact Stephen Roddy

Streaming and
Download help

Redeem code

Report this album or account

Stephen Roddy recommends:

If you like Stephen Roddy, you may also like: