💡 Integrating Azure Speech SDK with Azure OpenAI allows you to create a chatbot that takes voice input and provides voice output.
🔊 The process involves taking voice input, converting it to text using the Speech SDK, passing the text to the Azure OpenAI endpoint, and converting the response back into voice.
🔧 Azure Cognitive Services provides the necessary components for this integration, including the Speech SDK and Azure OpenAI.
🔑 Creating variables to store the Azure key and region.
🗣️ Creating speech configuration to enable chatbot voice.
🎤 Setting up audio configuration for input through the default microphone.
🎙️ Construct speech recognizer resources to take speech and audio as input.
🔊 Initialize speech recognizer with speech config and audio config.
📝 Grab user input through speech recognition and extract recognized text.
🔑 To utilize Azure Speech SDK, you need to create an instance in the Azure portal and obtain the API key and region.
🌍 Azure Cognitive Services offers various functionalities, including speech, language, and decision-making, which can be combined in a multi-purpose instance.
⚙️ It is recommended to use the same API key for multiple features of Azure Cognitive Services.
🎥 The video is about using Azure Speech SDK to give voice to an Azure OpenAI chatbot.
💻 The speaker demonstrates importing the OpenAI library and setting up the necessary API parameters.
🔗 The speaker mentions a video where they explain how to grab variable values and deploy the chatbot.
📞 Making a call to the completion endpoint using OpenAI SDK.
🔊 Converting the generated text back to speech using the Speech SDK.
💡 The video demonstrates how to use the Azure Speech SDK to create a speech synthesizer and generate audio output.
🎙️ The example shows how to integrate the speech synthesizer with a chatbot, allowing it to provide voice responses.
👨💻 The code presented is a basic demonstration and requires additional work to be production-ready.
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