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Acrolinx fixes
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articles/cognitive-services/Speech-Service/text-to-speech.md

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| Feature | Summary | Demo |
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| --- | --- | --- |
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| Prebuilt neural voice (called *Neural* on the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/)) | Highly natural out-of-the-box voices. Create an Azure account and Speech service subscription, and then use the [Speech SDK](./get-started-text-to-speech.md) or visit the [Speech Studio portal](https://speech.microsoft.com/portal) and select prebuilt neural voices to get started. Check the [pricing details](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/). | Check the the [Voice Gallery](https://speech.microsoft.com/portal/voicegallery) and determine the right voice for your business needs. |
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| Prebuilt neural voice (called *Neural* on the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/)) | Highly natural out-of-the-box voices. Create an Azure account and Speech service subscription, and then use the [Speech SDK](./get-started-text-to-speech.md) or visit the [Speech Studio portal](https://speech.microsoft.com/portal) and select prebuilt neural voices to get started. Check the [pricing details](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/). | Check the [Voice Gallery](https://speech.microsoft.com/portal/voicegallery) and determine the right voice for your business needs. |
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| Custom Neural Voice (called *Custom Neural* on the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/)) | Easy-to-use self-service for creating a natural brand voice, with limited access for responsible use. Create an Azure account and Speech service subscription (with the S0 tier), and [apply](https://aka.ms/customneural) to use the custom neural feature. After you've been granted access, visit the [Speech Studio portal](https://speech.microsoft.com/portal) and select **Custom Voice** to get started. Check the [pricing details](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/). | Check the [voice samples](https://aka.ms/customvoice). |
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### More about neural text to speech features
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Custom Neural Voice (CNV) training time is measured by ‘compute hour’ (a unit to measure machine running time). Typically, when training a voice model, two computing tasks are running in parallel. So, the calculated compute hours will be longer than the actual training time. On average, it takes less than one compute hour to train a CNV Lite voice; while for CNV Pro, it usually takes 20 to 40 compute hours to train a single-style voice, and around 90 compute hours to train a multi-style voice. The CNV training time is billed with a cap of 96 compute hours. So in the case that a voice model is trained in 98 compute hours, you will only be charged with 96 compute hours.
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Custom Neural Voice (CNV) endpoint hosting is measured by the actual time (hour). The hosting time (hours) for each endpoint is calculated at 00:00 UTC every day for the previous 24 hours. For example, if the endpoint has been active for 24 hours on day one, it will be billed for 24 hours at 00:00 UTC the second day. If the endpoint is newly created or has been suspended during the day, it will be billed for its acumulated running time until 00:00 UTC the second day. If the endpoint is not currently hosted, it will not be billed. In addition to the daily calculation at 00:00 UTC each day, the billing is also triggered immediately when an endpoint is deleted or suspended. For example, for an endpoint created at 08:00 UTC on December 1, the hosting hour will be calculated to 16 hours at 00:00 UTC on December 2 and 24 hours at 00:00 UTC on December 3. If the user suspends hosting the endpoint at 16:30 UTC on December 3, the duration (16.5 hours) from 00:00 to 16:30 UTC on December 3 will be calculated for billing.
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Custom Neural Voice (CNV) endpoint hosting is measured by the actual time (hour). The hosting time (hours) for each endpoint is calculated at 00:00 UTC every day for the previous 24 hours. For example, if the endpoint has been active for 24 hours on day one, it will be billed for 24 hours at 00:00 UTC the second day. If the endpoint is newly created or has been suspended during the day, it will be billed for its accumulated running time until 00:00 UTC the second day. If the endpoint is not currently hosted, it will not be billed. In addition to the daily calculation at 00:00 UTC each day, the billing is also triggered immediately when an endpoint is deleted or suspended. For example, for an endpoint created at 08:00 UTC on December 1, the hosting hour will be calculated to 16 hours at 00:00 UTC on December 2 and 24 hours at 00:00 UTC on December 3. If the user suspends hosting the endpoint at 16:30 UTC on December 3, the duration (16.5 hours) from 00:00 to 16:30 UTC on December 3 will be calculated for billing.
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## Reference docs
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