THE VIDEO SHELF · game music production
DOOM: Behind the Music
Mick Gordon's GDC 2017 session on composing the Doom (2016) soundtrack. He details his compositional process, production techniques and the experimental instrument and synth design behind the music.
Why HN readers recommended it
HN raves about it as one of the best conference talks, showing a master's creative process and sound design.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- GDC Festival of Gaming
- Topic
- game music production
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 5
- Recommendation years in dataset
- 2017–2023
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Here's one of the instruments from the Baschet workshop: [LINK] Mick Gordon–who scored the previous Wolfenstein game–did a great presentation on the instrument design for the Doom 2016 soundtrack, which is in my opinion one of the best (the best?) game soundtracks of all time: …
pault on Hacker News · 2017-11
In Audio Design Deep Dive: Scoring Wolfenstein II with the Baschet sonic sculpturesThis is really disappointing to read. Mick's soundtrack was a huge part of making DOOM 2016 and Eternal such great experiences. His talk at GDC where he goes into some of the process of creating the soundtrack is fantastic, so much fun to see the …
agentwiggles on Hacker News · 2022-11
In My full statement regarding DOOM EternalMick Gordon did some fun hidden spectrogram imagery in the Doom 2016 soundtrack. He talks about that and plenty of other cool stuff in his talk at the 2017 GDC conference. One of my favorite conference talks ever, he did so much cool experimentation to …
epiccoleman on Hacker News · 2023-05
In Show HN: I've built a spectrogram analyzer web app
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.