![azure speech to text azure speech to text](http://bush-dev.com/number5/2021/01/image-16-1000x476.png)
![azure speech to text azure speech to text](https://rebornas.blob.core.windows.net/rebornhome/AzureTTS/TTSHomePage.png)
The language is the language of the speech and the subscriptionKey is your Bing Search API key (Remember we kept this key aside in a notepad). The SpeechRecognitionMode is an enum which accepts text in short phrases or in long dictation. Note that ConvertSpeechToText() function is taking three parameters. _microRecogClient.StartMicAndRecognition() _microRecogClient.OnConversationError += OnConversationError _microRecogClient.OnPartialResponseReceived += OnPartialResponseReceivedHandler _microRecogClient.OnResponseReceived += OnResponseReceivedHandler _microRecogClient = SpeechRecognitionServiceFactory.CreateMicrophoneClient(mode, language, subscriptionKey) Public static void ConvertSpeechToText (SpeechRecognitionMode mode, string language, string subscriptionKey) Create a separate function to perform all the operations (for example : ConvertSpeechToText). At the end, start the microphone recognition with the StartMicAndRecognition() method as mentioned in the above point. Now initialize the MicrophoneRecognitionClient instance and wire it up with its respective OnResponseReceived(), OnPartialResponseReceived() and OnConversationError() events. This class exposes two important methods EndMicAndRecognition() and StartMicAndRecognition() which we will use later in our code. The MicrophoneRecognitionClient is a public class under the namespace.
![azure speech to text azure speech to text](https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/media/speech-services.png)
Static MicrophoneRecognitionClient _microRecogClient Now declare a static variable in the Program class.
#AZURE SPEECH TO TEXT INSTALL#
Browse for the library and install the required version based on your system.Īdd the following using statement to the top So, right click on the project > Manage NuGet Packages. Now in order to use the Speech API, we need to add a reference to the NuGet library. Please note that Visual C# is my default language selection.Ĭhoose the project name as per your wish (I have given it the name SpeechToText_AI). Select “Console App (.Net Framework)” as your project type.
![azure speech to text azure speech to text](https://sec.ch9.ms/ch9/2b17/31cbd931-b311-4f23-9d78-6f889f0a2b17/LearnLive-AIEdgeCognitiveServices_512.jpg)
Open visual studio 2017 and select File > New > Project. We are done setting up the Speech API in Azure. You can also copy Key 2 if you wish to, as any one of them will solve the purpose. Step 7: Now select the “Keys” property and copy Key 1. Once created, it will take you to it’s landing page (Quick start) as shown below: Step 6: Wait a few seconds for Azure to create the service for you. You can choose the Name, Resource Group and location as per your preference. Step 5: Fill up the necessary details and click Create. Step 3: Search “Bing Speech” in the search box and select the following: Step 2: Click the “Create a resource” option. Step 1: Login to Azure (If you do not have any subscription already then create one, else login to your existing account). Azure Subscription (Free subscription of 30 days will also do).Microsoft Visual Studio 2017 (Though you can try on VS 2015, but this demo is on VS2017).In this tutorial, I would walk you through the steps for creating your first Speech-to-Text artificial intelligence in a simple C# console application using the Microsoft Bing Speech Cognitive API. The Microsoft Cognitive Services – Speech API allows you to easily add real-time speech recognition to your app, so it can recognize audio coming from multiple sources and convert it to text, the app understands. Users expect to be able to speak, be understood, and be spoken to. Speech recognition is a standard for modern apps.