Voice assistants that you build by using Speech service can use a full range of customization options. Tutorial: Voice-enable an assistant that's built by using Azure AI Bot Service with the C# Speech SDK.The samples cover the client application for connecting to your assistant in several popular programming languages. Sample code for creating a voice assistant is available on GitHub. We offer the following quickstart article that's designed to have you running code in less than 10 minutes: Quickstart: Create a custom voice assistant by using Direct Line Speech Sample code and tutorials Microsoft offers the ability to build your own custom, high-quality Neural Text to speech (Neural TTS) voice that gives a voice to your brand. This synthesis is then made available to your client application as an audio stream. Textual responses from your assistant are synthesized through text to speech from the Speech service. This text is available, as it's transcribed, to both your assistant implementation and your client application. Voice assistants convert real-time audio into recognized text by using speech to text from the Speech service. Voice assistants can use service-side keyword verification to improve the accuracy of the keyword activation (versus using the device alone). Users can start conversations with assistants by using a custom keyword such as "Hey Contoso." An app does this with a custom keyword engine in the Speech SDK, which you can configure by going to Get started with custom keywords. You can also use Automated chatbot designer for two hours of training time per month for first two months. Whether you choose Direct Line Speech or another solution to create your assistant interactions, you can use a rich set of customization features to customize your assistant to your brand, product, and personality. From the date you get started with Amazon Lex, you can process up to 10,000 text requests and 5,000 speech requests or speech intervals per month for free for the first year. Reference architecture for building a voice assistant by using the Speech SDK It offers integration with a rich set of tools and authoring aids, such as the Virtual Assistant solution and enterprise template and the QnA Maker service, to build on common patterns and use your existing knowledge sources. If you aren't yet sure what you want your assistant to do, we recommend Direct Line Speech as the best option. You might want your application to support an open-ended conversation with phrases such as "I need to go to Seattle" or "What kind of pizza can I order?" For flexibility and versatility, you can add voice in and voice out capabilities to a bot by using Azure AI Bot Service with the Direct Line Speech channel. Speech service provides multiple, complementary solutions for crafting assistant interactions. The first step in creating a voice assistant is to decide what you want it to do. The voice assistant service provides fast, reliable interaction between a device and an assistant implementation. By using voice assistants with the Speech service, developers can create natural, human-like, conversational interfaces for their applications and experiences.
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