My most recommended method for beginners has always been PD (https://puredata.info/) combined with The Theory and Technique of Electronic Music: (https://msp.ucsd.edu/techniques/latest/book.pdf) and this book (https://mitpress.mit.edu/9780262014410/designing-sound/). Eli's tutorials on SuperCollider are also very helpful: https://www.youtube.com/@elifieldsteel Of course, my project Glicol can also be helpful for... - Source: Hacker News / 14 days ago

For node based workflows, check out Max or Pure Data. https://cycling74.com/products/max https://puredata.info/. - Source: Hacker News / 4 months ago

Tools like Ossia Score, Chataigne and PureData (pd) can also help a ton in building interactive art and triggering other A/V software. Source: about 1 year ago

WebPd is a highly modular compiler for audio programming language Pure Data allowing to run .pd patches on web pages. It converts the audio graph and processing objects from a patch into plain human-readable JavaScript or WebAssembly which can then be integrated directly into any web application. Source: about 1 year ago

You might also be interested in the very different Pure Data (http://puredata.info/) environment, which is also free and open-source. It uses a visual programming approach, which many people like but if you are already a programmer it might seem inconvenient in comparison. Source: over 1 year ago

📋 This means I should have prepared a transcript of the audio I've included above. Have you ever typed up your own transcript? It takes a good amount of effort and time, and a helpful transcription app, that my clients would probably not pay for. - Source: dev.to / about 3 years ago

To start, I have a $20/ yr "manual" transcription license for Transcribe by Wreally. Once I saw that other folks were interested in transcripts too, I set up an automatic transcription for the first episode - it tends to work alright, but also needs some manual revising and editing after it finishes processing. Source: about 3 years ago

This is the main reason we still have a local-only mode in our transcription web app [1]. We play the audio/video file directly from the user’s computer, and we use local storage to store typed text in users’ computers. This way no transcription data leaves users’ computers. We’ve been working on it for over a decade and we did add machine transcription recently, but I still find a surprising number of users use... - Source: Hacker News / about 3 years ago