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Cognitive Services pricing—Speech Services

Use intelligence APIs to enable vision, speech, language, and knowledge capabilities

The unified Speech services provide a wide range of speech recognition and generation capabilities including speech transcription, text-to-speech and speech translation.

Pricing Details

Instance Concurrent Request Features Price
Free 1 concurrent request Speech Translation 5 hours free per month
Speech to Text 5 hours free per month
Speech to Text with Custom Speech Model 5 hours free per month
Speech Endpoint Hosting* 1 model free per month
Text to Speech 5M characters free per month
Text to Speech with Custom Voice Font 5M characters free per month
Custom Voice Font Hosting* 1 model free per month
Standard 20 concurrent requests Speech Translation $- per hour
Speech to Text $- per hour
Speech to Text with Custom Speech Model $- per hour
Speech Endpoint Hosting $-/model/month
Text to Speech $- per 1M chars
Text to Speech with Custom Voice Font $- per 1M chars
Custom Voice Font Hosting $-/model/month
*Unused models will be automatically decommissioned after 7 days

Support & SLA

  • Free billing and subscription management support are included.
  • We guarantee that Cognitive Services running in the standard tier will be available at least 99.9 percent of the time. No SLA is provided for the free trial. Read the SLA.


Speech Services

    • For Speech Translation, Speech to Text and Speech to Text with Custom Speech Model: usage is billed in one-second increments
    • For Text to Speech and Text To Speech with Custom Voice Font: usage is billed per character
    • For Custom Speech Model Hosting and Custom Voice Font Hosting: usage is billed daily
  • The Speech service enables users to adapt baseline models based on their own acoustic and language data, leading to custom speech models that can be used against both Speech to Text and Speech Translation.

  • The language model is a probability distribution over sequences of words. The language model helps the system decide among sequences of words that sound similar, based on the likelihood of the word sequences themselves. For example, “recognise speech” and “wreck a nice beach” sound alike but the first hypothesis is far more likely to occur and therefore will be assigned a higher score by the language model. If you expect voice queries to your application to contain particular vocabulary items, such as product names or jargon that rarely occur in typical speech, it is likely that you can obtain improved performance by customising the language model. For example, if you were building an app to search MSDN by voice, it is likely that terms like “object-oriented” or “namespace” or “dot net” will appear more frequently than in typical voice applications. Customising the language model will enable the system to learn this.

  • The acoustic model is a classifier that labels short fragments of audio into one of several phonemes, or sound units, in each language. These phonemes can then be stitched together to form words. For example, the word “speech” is comprised of four phonemes “s p iy ch”. These classifications are made on the order of 100 times per second. Customising the acoustic model can enable the system to learn to do a better job in recognising speech in atypical environments. For example, if you have an app designed to be used by workers in a warehouse or factory, a customised acoustic model can more accurately recognise speech in the presence of the noises found in these environments.

  • Microsoft Speech Services provide 70+ default voices (a.k.a voice fonts) in 40+ languages to help you convert your text into audio. With the rise of the virtual assistant and various speech-enabled applications, however, many companies would like to have a unique voice that represents their business and is carefully designed for their own brand identity. For example, if you are developing a chat bot for your customer care service, you can associate it with a unique brand voice of your company to develop customer attachment. Likewise, an in-car navigation software developer can enable Text-to-Speech in different custom voices to enrich user experience.

    Through Voice Studio, the custom voice building portal, that is easy. Using your own audio data (recorded human voice with their associated scripts), you can generate a custom voice font which will then be deployed to Microsoft Text-to-Speech service and can be easily plugged in your applications with an API endpoint for your own use.


  • Bing Search APIs are invoiced based on number of transactions (also known as API calls). These plans are pay-as-you-go and does not incur additional cost for complex queries and more than 10 results (up to 50 results in most cases).

  • If you happen to exceed the mentioned number of transactions per second (TPS), your usage will be throttled to be within the mentioned limit. If your application needs to have higher TPS than the ones mentioned on this page, please reach out to the Azure support team.

  • For billing purposes, a transaction is a successful Bing API call request (though there are caveats for DoS attacks). For logging and reporting purposes such as for the Bing Statistics Add-in, it is any Bing API call irrespective of whether it is successful or not.

  • You can change the tier of service anytime. Please make sure you use appropriate keys in your API calls. If you are having enterprise agreement with Microsoft, please work with your account executive.


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