Skip to content
This repository has been archived by the owner on Feb 26, 2021. It is now read-only.

Do parallel transcription with Deep Speech #349

Closed
ianb opened this issue Oct 1, 2019 · 4 comments
Closed

Do parallel transcription with Deep Speech #349

ianb opened this issue Oct 1, 2019 · 4 comments
Milestone

Comments

@ianb
Copy link
Contributor

ianb commented Oct 1, 2019

I believe there's a request flag to do Deep Speech transcription. That is, with just a small tweak we could use Deep Speech.

While I'm not sure we want to switch entirely (though we could make that an option), we could send the request twice, get both responses, and record both transcriptions in Telemetry (and a flag just for equality, which wouldn't require opt-in). This probably doesn't require any server changes.

@awallin
Copy link
Contributor

awallin commented Oct 1, 2019

Would be great to collect transcriptions for both during internal Beta and do a comparison to evaluate quality.

@ianb
Copy link
Contributor Author

ianb commented Oct 3, 2019

I'm asking @andrenatal about what we have to change about the request to change the transcription backend.

@ianb ianb added this to the Backlog milestone Oct 3, 2019
@andrenatal
Copy link
Contributor

@ianb just replace the service endpoint by: https://dev.speaktome.nonprod.cloudops.mozgcp.net

This is a backend with deep speech

@ianb
Copy link
Contributor Author

ianb commented Oct 29, 2019

mozilla-services/mozilla-pipeline-schemas#444 contains new Telemetry properties related to this.

ianb added a commit that referenced this issue Oct 30, 2019
This doesn't effect anything a user sees, but will test the accuracy of DeepSpeech in Telemetry.
@ianb ianb closed this as completed in a3bcfef Oct 30, 2019
ianb added a commit that referenced this issue Oct 30, 2019
Fix #349, do parallel transcription with DeepSpeech
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants