How you can use Scramjet for voice recognition?
Our dev team wrote a very easy sample of voice recognition using Scramjet Transform Hub and the speech_recognition Python library. You can use it to change words into a data output for any of your projects with a couple strokes of your keyboard and some copy/paste. The sample needs some external dependencies to run, but we packaged all of them in the sample to limit what you need to install to play around with Scramjet technology.
The first terminal:
# start sth
DEVELOPMENT=1 scramjet-transform-hub
The second terminal:
# go to 'voice-recognition' directory
cd samples/voice-recognition
# install dependencies
yarn build:refapss
# Deploy sample to STH
si seq deploy dist/
Now that you’ve deployed the code, you need to gather the voice and pass it over to the listen.py script, then you can start running the script and start talking!
# You need to pass instane id to listen.py script. Gather it first
si inst ls
[{"id":"da9e41d8-e776-491f-b883-6e61afa93b97","sequence":"15228e0e-b7e3-4008-b4ee-e9aa1d0008d9"}]
# Run listen.py script
SCRAMJET_API_URL="http://localhost:8000/api/v1" INSTANCE_ID="da9e41d8-e776-491f-b883-6e61afa93b97" python3 listen.py
# You should see something similar to this. Now you can start talking :)
http://localhost:8000/api/v1 f5184065-93a0-4a53-96aa-b28ad87801cd
ALSA lib setup.c:547:(add_elem) Cannot obtain info for CTL elem (MIXER,'AC97 2ch->4ch Copy Switch',0,0,0): No such file or directory
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.center_lfe
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.side
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.surround21
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.surround21
ALSA lib setup.c:547:(add_elem) Cannot obtain info for CTL elem (MIXER,'AC97 2ch->4ch Copy Switch',0,0,0): No such file or directory
(...)
Scramjet Transform Hub will recognize your voice (in this instance ‚I like pink elephants’) and provide it as output data in the logs.
2022-07-11T08:12:43.021Z INFO Host List Instances
2022-07-11T08:12:43.021Z DEBUG Host Request [
'date: 2022-07-11T08:12:43.021Z, method: GET, url: /api/v1/instances, status: 200'
]
2022-07-11T08:12:57.366Z INFO PythonRunner Input headers: {'content-type': 'text/plain'}
2022-07-11T08:12:57.366Z DEBUG PythonRunner Decoding input stream...
2022-07-11T08:12:57.366Z DEBUG PythonRunner Input stream forwarded to the instance.
2022-07-11T08:12:57.369Z DEBUG Host Request [
'date: 2022-07-11T08:12:57.365Z, method: POST, url: /input, status: 200'
]
2022-07-11T08:12:58.702Z DEBUG PythonRunner Output type not set, using default
2022-07-11T08:12:58.702Z INFO PythonRunner Output type: text/plain
2022-07-11T08:12:58.702Z DEBUG PythonRunner Output stream will be treated as text and encoded
i like pink elephants 2022-07-11T08:12:59.057Z INFO PythonRunner Finished.
2022-07-11T08:12:59.069Z TRACE ProcessInstanceAdapter Runner process exited [ 10994 ]
2022-07-11T08:12:59.069Z TRACE CSIController Sequence finished with success [ 0 ]
2022-07-11T08:12:59.070Z TRACE Host CSIControlled ended [ 'Exit code: 0' ]
2022-07-11T08:12:59.070Z TRACE CSIController Instance stopped.
Deploying this code takes just a couple keystrokes and is super easy, yet the applications are really broad and can be collected even on a Raspberry Pi somewhere on the edge.
Feel free to use this sample and play around with our technology.
Feel free to check other samples developed by our team in GitHub Platform Samples Repository.
If you like it, consider joining our beta program.
Happy coding!
