Azure Neural Text-to-Speech updates: 51 new voices added to the portfolio. This post was co-authored with Qinying Liao, Sheng Zhao, Gang Wang, Yueying Liu. Neural Text to Speech (Neural TTS), a powerful speech synthesis capability of Cognitive Services on Azure, enables you to convert text to lifelike speech which is close to human-parity. Explore, try out, and view sample code for some of common use cases using Azure Speech Services features like speech to text and text to speech. Captioning with speech to text Convert the audio content of TV broadcast, webcast, film, video, live event or other productions into text to make your content more accessible to your audience. Speech to text (also called speech recognition) extracts plain text strings from audio files or microphones. Azureโ€™s speech to text offering is part of Azure Cognitive Services and lets developers convert audio to strings at an affordable pay-per-use pricing model. This allows developers to build intelligent apps that users can interact with In this quickstart, you convert text to speech. Learn about object construction and design patterns, supported audio formats, and custom configuration options. Text to Speech (TTS), part of Speech in Azure Cognitive Services, enables developers to convert text to lifelike speech for more natural interfaces with a rich choice of prebuilt voices and powerful customization capabilities. At the //Build 2021 conference, we are excited to announce several new features and improvements to TTS that address a The Azure Text to Speech API is a feature-rich platform that offers a wide array of capabilities aimed at enhancing the user experience through natural-sounding speech generation. With a robust set of neural voices, developers can create realistic and engaging audio content for a variety of applications. Part of Microsoft Azure Collective. 1. I'm currently using Azure speech to text in my project. It is recognizing speech input directly from microphone (which is what I want) and saving the text output, but I'm also interested in saving that audio input so that I can listen to it later on. Before moving to Azure I was using the python speech Audio Content Creation is an easy-to-use and powerful tool that lets you build highly natural audio content for a variety of scenarios, such as audiobooks, news broadcasts, video narrations, and chat bots. With Audio Content Creation, you can fine-tune text to speech voices and design customized audio experiences in an efficient and low-cost way. Azure AI Speech also offers over 400 neural voices covering more than 140 languages and locales. With these pre-built Text-to-Speech voices, you can quickly add read-aloud functionality for a more accessible app design or give a voice to chatbots to provide a richer conversational experience to your users. Speech SDK. For Speech SDK in sovereign clouds you need to use "from host / with host" instantiation of SpeechConfig class or --host option of Speech CLI. (You may also use "from endpoint / with endpoint" instantiation and --endpoint Speech CLI option). dbgm.