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 Hosting1 1 model free per month
Text to Speech with Standard Voices 5M characters free per month
Text to Speech with Neural Voices 0.5M characters free per month
Text to Speech with Custom Voice Font 5M characters free per month
Custom Voice Font Hosting1 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 with Standard Voices $- per 1M chars
Text to Speech with Neural Voices $- per 1M chars2
Text to Speech with Custom Voice Font $- per 1M chars
Custom Voice Font Hosting $-/model/month
1Unused models will be automatically decommissioned after 7 days.
2This is a public preview price for Text to Speech with Neural Voices.

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.


    • 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, “recognize 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 customizing the language model. For example, if you were building an app to search MSDN by voice, it’s likely that terms like “object-oriented” or “namespace” or “dot net” will appear more frequently than in typical voice applications. Customizing 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. Customizing the acoustic model can enable the system to learn to do a better job recognizing speech in atypical environments. For example, if you have an app designed to be used by workers in a warehouse or factory, a customized acoustic model can more accurately recognize 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.


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