An Azure service that integrates speech processing into apps and services.
Hi Axel Angel
Yes, Custom text to speech Avatar would address your requirement here.
Here are answers to you queries
Once we have all material video/audio for training, how much time does it take from the time we submit the material until we can use it in the API directly? Including submission process, and training.
You need to take approval first for Custom Avatar usage here through this form
Then create high quality training video as per guideline for Custom Avatar Training.
Once you have finetuned model Avatar, it will be usable through SDK or UI.
Training for custom audio takes up to 40 hrs.
Reference - https://learn.microsoft.com/en-us/azure/ai-services/speech-service/custom-neural-voice
Training for custom Avatar depends on training file size and complexity (20-48 hrs)
What is the pricing of those steps: how much does it cost to train an avatar audio+voice (the compute time cost) and how much does it cost to use it in production (inference generation).
Compute training cost for Avatar training
Around 52$ dollar per training compute hour and 5$ per hour for endpoint hosting per 2024 data
Please check with Sales team for exact data in 2025.
The Avatar service is billed at approximately $1.44 per 6-minute block of generated video output, while the neural TTS is billed separately at around $4.00 per 1 million characters of synthesized speech.
So, both services contribute to the total cost: TTS for generating the speech, and the Avatar service for rendering the video with lip-sync and facial expressions.
Reference
https://learn.microsoft.com/en-us/answers/questions/3207134/unable-to-estimate-avatar-usage
https://azure.microsoft.com/en-us/pricing/details/cognitive-services/speech-services/
Improving Quality of default avatars.
- Utilize Speech Synthesis Markup Language (SSML). SSML allows you to fine-tune aspects like pitch, pronunciation, speaking rate, and volume for the text-to-speech output. This can help in producing more natural-sounding speech. You can learn more about SSML here.
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Hope it helps.
Thank you