I'm a big fan of awesome lists. When trying to learn about new databases, get background on security tools, find a Python library, CSS trick, etc. these curated lists of community bookmarks are helpful.
A few years ago I wrote about my surprise at the difficulty finding useful audio resources. We've had contributions from both interns and audio engineers with decades of industry experience which has helped the list continue to grow.
The Awesome Audio Repository
As is tradition, you can find the complete list of resources in a single markdown file -- the README.md of the repository.
There are a few categories to help organize the resources.
This is a collection of software applications, tools, web apps, and APIs you can use to solve audio-related problems for your own awesome projects.
It is further sub-divided into a few specific problem areas. The idea is for finding alternative programmatic solutions to common problems.
- How-to Analyze Audio
- How-to Edit Audio
- How-to Playback Audio
- How-to Read and Write Audio Files
- How-to Record Audio
- How-to Send Real-Time Audio
- How-to Transcribe Audio
- How-to Visualize Audio
I would love to hear from others in comments if there are other types of problems where they'd be looking for solutions.
This is a list of social forums and network aggregators, discussion groups, in-person events, and audio experiences you can seek out.
- More Awesome: After digging, I have found some additional awesome lists that are worth calling out but have a narrower focus area
- Collections: Places to find large collections of recordings
- Conferences and Events: There are some great events to get together with other audiophiles
- Podcasts that explore audio concepts in interesting ways
This section is all about educational resources such as books, courses, tutorials, journals, and blogs that are worth checking out for those new to studying audio.
This is a collection of standards organizations and definitions that can be very useful for understanding the larger ecosystem as it relates to audio.
Dolby has a large audio research team that is advancing technical progress in the field. This section includes resources such as datasets which can be useful for those who are developing algorithms and training machine learning approaches.
Contributing to Awesome Audio
Is there something missing from the list? Without a doubt there are many awesome people doing awesome things.
If your most beloved resources are something you'd be willing to share, please check the contributing guidelines and code of conduct then Submit an Issue with your suggestion. You can also drop some links in the comments here and I'll add them to the list.
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