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Speech processing plays an important role in any speech system whether its Automatic Speech Recognition (ASR) or speaker recognition or something else
Home Page: http://haythamfayek.com/2016/04/21/speech-processing-for-machine-learning.html
License: Apache License 2.0
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Installation
Using pip
Setup
The easiest way to get set up is with a few environment variables:
(You can find your project ID and API KEY with your project's settings):
export AIRBRAKE_API_KEY=<Your project API KEY>
export AIRBRAKE_PROJECT_ID=<Your project ID>
export AIRBRAKE_ENVIRONMENT=production
and you're done!
Otherwise, you can instantiate your AirbrakeHandler
by passing these values as arguments to the getLogger()
helper:
import airbrake
logger = airbrake.getLogger(api_key="<Your project API KEY>", project_id=<Your project ID>)
try:
1/0
except Exception:
logger.exception("Bad math.")
For more information please visit our official GitHub repo.