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> Seems strange that this requires java. A lot of deployed deep learning is in Python so I doubt this will matter. Looking at the docs, it looks like the main
by Vetch 5y ago
> Seems strange that this requires java.
A lot of deployed deep learning is in Python so I doubt this will matter. Looking at the docs, it looks like the main speech to text is python heavy, it leverages elasticsearch and calls libraries that are bindings to code written in C++. As none of that overhead will ultimately matter for anything approaching the fidelity you get with cloud services, cost benefit trade off favors Java in this scenario.
> lower profile computers
When it comes to deep learning, this just isn't the direction things are headed. If you want the best results with low latency, your home server is going to have to be fairly beefy with a decent GPU and lots of memory.
- unhammer 5y ago> > lower profile computers > When it comes to deep learning, this just isn't the direction things are headed. You're not going to be training the models on the raspberry pi, just running them. There's a huge difference in requirements there, and lots of progress has been made towards squeezing models into phones etc. ( https://pytorch.org/mobile/home/ https://pytorch.org/mobile/home/ ). There are also efforts like like https://github.com/XapaJIaMnu/translateLocally https://github.com/XapaJIaMnu/translateLocally , https://neural.mt/speed/2021/ https://neural.mt/speed/2021/