![]() Use speaker diarisation to determine who said what and when. Use speech-to-text to transcribe audio into text, either in real time or asynchronously.Ĭonvert audio to text from a range of sources, including microphones, audio files, and blob storage. Speech feature summaries are provided below with links for more information. Microsoft uses Speech for many scenarios, such as captioning in Teams, dictation in Office 365, and Read Aloud in the Edge browser. The voice assistant feature provides fast, reliable interaction between a device and an assistant implementation. Voice assistants: Create natural, humanlike conversational interfaces for their applications and experiences. ![]() Call Center: Transcribe calls in real-time or process a batch of calls, redact personally identifying information, and extract insights such as sentiment to help with your call center use case.Audio Content Creation: You can use neural voices to make interactions with chatbots and voice assistants more natural and engaging, convert digital texts such as e-books into audiobooks and enhance in-car navigation systems.Captioning: Learn how to synchronize captions with your input audio, apply profanity filters, get partial results, apply customizations, and identify spoken languages for multilingual scenarios. ![]() Speech is available for many languages, regions, and price points. It's easy to speech enable your applications, tools, and devices with the Speech CLI, Speech SDK, Speech Studio, or REST APIs. Run Speech anywhere, in the cloud or at the edge in containers. You can transcribe speech to text with high accuracy, produce natural-sounding text-to-speech voices, translate spoken audio, and use speaker recognition during conversations.Ĭreate custom voices, add specific words to your base vocabulary, or build your own models. The Speech service provides speech-to-text and text-to-speech capabilities with an Azure Speech resource.
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