You won't believe how fast it is | Raspberry Pi Speech-to-Text
Faster than real-time offline speech transcription on Raspberry Pi - or any other computing system, including Orange Pi, Jetson Nano and many other Linux SBCs. A quick hands-on guide from installing necessary packages to running Whisper model with whisper.cpp or faster-whisper.
Whisper.cpp Python bindings repository:
github.com/AIWintermuteAI/whi...
faster-whisper:
github.com/SYSTRAN/faster-whi...
Benchmark gist:
gist.github.com/AIWintermuteA...
Пікірлер: 85
The follow-up video is also live on KZread - find it in my channel.
love this video! i rarely find myself pausing, and rewinding but here the details were coming fast enough that i became the weak link. love this.
I need this because im building a translator for my sister. There’s a new person in her class that can only speak Spanish, so im making this.
Hey this is incredible. really appreciate your work
Very cool guide. Thank you.
Thanks for the work done fixing the whisper.cpp python bindings! I'll check them out.
Hello! Great work, will try test it. Your projects are interesting (for me since Kendryte K210).
I’m using your repository. Thanks you
I'm going to try to install it.
Well done! Was whisper.cpp compiled with BLAS optimizations?
Hi! This is amazing! Thank you very much! Just a quick question, should it work on Windows? Because I get an error when I run "python -m build -w":
Would you consider showing how to implement live real time streaming with faster-whisper? Seems like that would be a huge way forward
Can the program be modified so that all recognized texts are consolidated into a single paragraph upon exiting the program?
hello, same benchmark results in 5925.774ms computation time on my RPI 5 currently, should I do anything differently? the audio file i've used is 10 secs, same JFK speech
How hard would it be to add a continuous background search process taking keywords from the conversation? I wanna have a screen in my office that's supporting the dialogue with more right brain material. Of course, they need to interrupt and follow the sauce for resource would be important.
I had heard about faster whisper on other channels but thought it couldn't work on an SBC because it uses GPU which an SBC doesn't have. I have no idea how you did this. Thanks!
hi,
Can i use INMP441 Microphone Module I2S instead of
I downloaded this on the Raspberry Pi 4, bookworm 64 bit and I got the following error:
oh man, please teach me the ways. Like, for real. I saw you provide 1:1 consultancy, but I need to know if your price is per meeting of for a full project.