Azure speesh service , custom avatar deployment is taking too much time

Question

Azure speesh service , custom avatar deployment is taking too much time

Riham Fayez 0

Azure speesh service , custom avatar deployment is taking too much time, it used to take couple of mins but currently is taking hours and not deploying . don't know if there a problem , can't see logs

Anshika Varshney 14,085 Reputation points Microsoft External Staff Moderator

2026-06-25T20:03:13.4466667+00:00

Hello @Riham Fayez

I hope this helps you get back on track! If you're still facing issues, could you share more details?
Anshika Varshney 14,085 Reputation points Microsoft External Staff Moderator

2026-06-28T06:49:38.4766667+00:00

Hello @Riham Fayez

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

Thankyou!
Anshika Varshney 14,085 Reputation points Microsoft External Staff Moderator

2026-07-01T15:04:53.5766667+00:00

Hello @Riham Fayez

Please let me know if the issue persists after these checks. If you have any remaining questions or need additional details, I’ll be glad to provide further clarification or guidance.

If the above steps resolve your issue, please take a moment to mark it as Accepted. This helps others in the community with the same question find the solution more easily.

Thankyou!

2 answers

Your answer

Anshika Varshney 14,085 Reputation points Microsoft External Staff Moderator

2026-06-25T20:03:13.4466667+00:00

Hello @Riham Fayez

I hope this helps you get back on track! If you're still facing issues, could you share more details?
Anshika Varshney 14,085 Reputation points Microsoft External Staff Moderator

2026-06-28T06:49:38.4766667+00:00

Hello @Riham Fayez

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

Thankyou!
Anshika Varshney 14,085 Reputation points Microsoft External Staff Moderator

2026-07-01T15:04:53.5766667+00:00

Hello @Riham Fayez

Please let me know if the issue persists after these checks. If you have any remaining questions or need additional details, I’ll be glad to provide further clarification or guidance.

If the above steps resolve your issue, please take a moment to mark it as Accepted. This helps others in the community with the same question find the solution more easily.

Thankyou!

Answer 1

Hello @Riham Fayez

This can happen when the training or deployment backend is delayed, configuration or quota issues block deployment, or the deployment job is stuck, try the steps below to find and fix the problem.

What to check first

Deployment status in Speech Studio UI: Open Speech Studio → Custom Avatar → your project → Deploy model and confirm the model's status (Queued, Deploying, Succeeded, Failed). The documentation shows the exact place to view and manage endpoints.
Notifications / email from Azure: Azure normally notifies you when training finishes and when deployment completes; check the subscription email and the Speech Studio notifications.

Troubleshooting steps

Wait + refresh: Sometimes deployments are briefly queued and can take longer than a few minutes; refresh the Deploy page and give it 15–30 minutes before deeper debugging.

Check region & resource type: Ensure the custom avatar endpoint is being created in the same Speech resource and region that supports custom avatars; mismatched resources cause failures or hangs. The docs explain resource/endpoint requirements. [learn.microsoft]

Quotas and limits: Verify you haven’t hit endpoint quotas (for example, number of custom avatar endpoints per resource). If you hit limits, new deployments will not complete. See the deployment limits in the custom avatar docs.

Confirm model training succeeded: If training did not complete properly the model can't be deployed; check the Train model page for a Succeeded status and a preview image before clicking Deploy.[learn.microsoft]

Use a different browser / incognito: Sometimes the Studio UI may not show live updates due to cached JS or auth glitches; try an incognito window or another browser. This often fixes “no logs” or stale UI problems.

Check subscription and permissions: Ensure your Azure account has the right role on the Speech resource (owner/contributor) so deployment can create an endpoint. Lack of permission can silently fail or block operations.

Look for related service delays: Community reports show occasional backend latency spikes for avatar/TTs services; latency in training/deploy is sometimes caused by transient service-side issues. See related Q&A posts about delays and latency best practices.

Try re-deploy or delete & recreate: If the deployment stays stuck (Queued/Deploying) after a long wait, cancel/delete the deployment and try again; if deletion is not available, try creating a new endpoint from the same trained model. The docs describe how to remove and re-add endpoints.

Confirm custom neural voice (CNV) setup if used: If you used a Custom Neural Voice with the avatar, both CNV and avatar endpoints must be in the same Speech resource; mismatches can block runtime and cause unexpected failures.

How to get useful logs

Screenshot the Deploy model page showing status and timestamps (includes model created date and preview).

Record the exact resource name, region, and subscription ID (do NOT share secrets/keys).

Note the times you started training and attempted deployment and any UI errors you saw, these help correlate with backend incidents.

I Hope this helps. Do let me know if you have any further queries.

Thankyou!

Answer 2

Riham Fayez hi, thx for sharing urs issue here at Q&A portal,

the custom avatar deployment job is stuck or there’s a backend delay on Speech/Avatar service.

If it used to deploy in a few mins and now sits for hours w/ no logs, that’s prob not a normal content/config issue. Could be queue delay, regional capacity, or a service-side deployment problem.

Quick checks: try a very small test avatar deployment in the same region, then try another region if ur setup allows it. If the small test also hangs, that points to service or backend. If only one avatar hangs, the asset/package may be the problem.

Check Azure Service Health for Speech / Azure AI services in ur region. MS status page won’t always show smaller incidents, but it’s still worth checking https://status.azure.com/

MS Speech avatar https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/what-is-text-to-speech-avatar best move rn is open a support case w/ Speech resource id, region, avatar/deployment id, UTC start time, and how long it’s been stuck. Ask them to check backend deployment status/queue for custom avatar. There isn’t much u can debug client-side if the portal/API gives no logs. If it’s been hours, I wouldn’t keep deleting or recreating blindly unless support confirms the old job is dead.

rgds,

Alex

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