![]() ![]() OutputSpeechRecognitionResult(speechRecognitionResult) Var speechRecognitionResult = await speechRecognizer.RecognizeOnceAsync() Using var speechRecognizer = new SpeechRecognizer(speechConfig, audioConfig) Ĭonsole.WriteLine("Speak into your microphone.") Using var audioConfig = AudioConfig.FromDefaultMicrophoneInput() SpeechConfig.SpeechRecognitionLanguage = "en-US" Var speechConfig = SpeechConfig.FromSubscription(speechKey, speechRegion) Static void OutputSpeechRecognitionResult(SpeechRecognitionResult speechRecognitionResult)Ĭonsole.WriteLine($"RECOGNIZED: Text=") Ĭonsole.WriteLine($"CANCELED: Did you set the speech resource key and region values?") Static string speechRegion = Environment.GetEnvironmentVariable("SPEECH_REGION") Static string speechKey = Environment.GetEnvironmentVariable("SPEECH_KEY") This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION" Replace the contents of Program.cs with the following code. Install the Speech SDK in your new project with the. The Program.cs file should be created in the project directory. Open a command prompt where you want the new project, and create a console application with the. Recognize speech from a microphoneįollow these steps to create a new console application and install the Speech SDK. For example, westus.įor more configuration options, see the Xcode documentation. Set SPEECH_REGION to the region of your resource. To set the environment variable for your Speech resource region, follow the same steps. Enter SPEECH_KEY for the Name and enter your Speech resource key for the Value.Under Environment Variables select the plus (+) sign to add a new environment variable.Select Arguments on the Run (Debug Run) page.For example, follow these steps to set the environment variable in Xcode 13.4.1. Xcodeįor iOS and macOS development, you set the environment variables in Xcode. bash_profile, and add the environment variables: export SPEECH_KEY=your-keyĪfter you add the environment variables, run source ~/.bash_profile from your console window to make the changes effective. export SPEECH_KEY=your-keyĪfter you add the environment variables, run source ~/.bashrc from your console window to make the changes effective. For example, if you are using Visual Studio as your editor, restart Visual Studio before running the example. This feature is particularly useful for conversation-based interactions, such as call center activities and interviews.If you only need to access the environment variable in the current running console, you can set the environment variable with set instead of setx.Īfter you add the environment variables, you may need to restart any running programs that will need to read the environment variable, including the console window. Whether you’re using your Windows computer or your Android and iOS devices, this platform ensures that you have access to its services anywhere and anytime. To further improve its accessibility, Microsoft Azure Speech Services provides extensive device support. As it works in tandem with its ability to recognize speech, this benefit allows your apps and this platform to understand real-life speech, thereby yielding quality translations and transcriptions. Through its neural machine translation, Microsoft Azure Speech Services enables you to access speech translation services. Specifically, you can use this platform to change the speech, pitch, and volume of the converted speech. Similar to the previous feature, this capability improves your users’ experiences within the app. Furthermore, the speech-to-text tool enables your apps to adapt according to the speaker’s accent and background noises among many others.Īnother benefit of Microsoft Azure Speech Services is text-to-speech smart apps. This feature allows your users to give voice commands, transcribe conversations, and analyze call center logs. Microsoft Azure Speech Services is a voice recognition software that offers you and your team with the ability to add speech-to-text services to your apps. The main benefits of Microsoft Azure Speech Services are real-time speech to text, text-to-speech smart apps, neural machine translation, and extensive device support.
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