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Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
For desktop applications, other markup languages are popular, including Apple's embedded speech commands, and Microsoft's SAPI Text to speech (TTS) markup, also an XML language. It is also used to produce sounds via Azure Cognitive Services' Text to Speech API or when writing third-party skills for Google Assistant or Amazon Alexa.
Dragon NaturallySpeaking uses a minimal user interface. As an example, dictated words appear in a floating tooltip as they are spoken (though there is an option to suppress this display to increase speed), and when the speaker pauses, the program transcribes the words into the active window at the location of the cursor.
Microsoft Graph is a Microsoft API developer platform that connects multiple services and devices.. Initially released in November 2015 as Office 365 Unified API, [1] the Microsoft Graph builds on Microsoft 365 APIs and allows developers to integrate their services with Microsoft products, including Windows, Microsoft 365, and Azure. [2]
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Speech synthesis and speech recognition United States: 19,700,000,000 [300] 257 April 29, 2021: Kinvolk Open source Kubernetes solutions and tools. Germany — [301] 258 June 2, 2021: ReFirm Labs IoT security and embedded devices United States — [302] 259 June 30, 2021: AT&T Technology Network Cloud 5G Networking United States — [303] 260 ...
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