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This synthesizes to the current active output device. To do this, omit the AudioConfig parameter when creating the SpeechSynthesizer in the example above. In some cases, you may want to directly output synthesized speech directly to a speaker. This is a good example of the most basic usage, but next you look at customizing output and handling the output response as an in-memory stream for working with custom scenarios. wav file is written to the location you specified. Using var synthesizer = new SpeechSynthesizer(config, audioConfig) Īwait synthesizer.SpeakTextAsync("A simple test to write to a file.") Then, executing speech synthesis and writing to a file is as simple as running SpeakTextAsync() with a string of text. Pass your config object and the audioConfig object as params. Next, instantiate a SpeechSynthesizer with another using statement. Using var audioConfig = AudioConfig.FromWavFileOutput("path/to/write/file.wav") A using statement in this context automatically disposes of unmanaged resources and causes the object to go out of scope after disposal. wav file, using the FromWavFileOutput() function, and instantiate it with a using statement. To start, create an AudioConfig to automatically write the output to a. The SpeechSynthesizer accepts as params the SpeechConfig object created in the previous step, and an AudioConfig object that specifies how output results should be handled. Next, you create a SpeechSynthesizer object, which executes text-to-speech conversions and outputs to speakers, files, or other output streams. Var config = SpeechConfig.FromSubscription("", "")

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You also create some basic boilerplate code to use for the rest of this article, which you modify for different customizations. Get these credentials by following steps in Try the Speech service for free. In this example, you create a SpeechConfig using a speech key and location/region.

With an authorization token: pass in an authorization token and the associated location/region.

A key or authorization token is optional.

With an endpoint: pass in a Speech service endpoint.

With a subscription: pass in a key and the associated location/region.

There are a few ways that you can initialize a SpeechConfig: Regardless of whether you're performing speech recognition, speech synthesis, translation, or intent recognition, you'll always create a configuration. This class includes information about your subscription, like your speech key and associated location/region, endpoint, host, or authorization token. To call the Speech service using the Speech SDK, you need to create a SpeechConfig. To run the examples in this article, include the following using statements at the top of your script. Depending on your platform, use the following instructions:

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Install the Speech SDKīefore you can do anything, you'll need to install the Speech SDK. If you don't have an account and subscription, try the Speech service for free. This article assumes that you have an Azure account and Speech service subscription. If you want to skip straight to sample code, see the C# quickstart samples on GitHub.

Submitting synthesis requests using SSML (speech synthesis markup language).

Customizing output sample rate and bit rate.

You start by doing basic configuration and synthesis, and move on to more advanced examples for custom application development including: In this quickstart, you learn common design patterns for doing text-to-speech synthesis using the Speech SDK.