![]() This base model is pre-trained with dialects and phonetics representing a variety of common domains. Out of the box, speech to text utilizes a Universal Language Model as a base model that is trained with Microsoft-owned data and reflects commonly used spoken language. The Azure speech-to-text service analyzes audio in real-time or batch to transcribe the spoken word into text. ![]() For more information on how to use the batch transcription API, see How to use batch transcription and Batch transcription samples (REST). You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results. Batch transcriptionīatch transcription is a set of Speech-to-text REST API operations that enable you to transcribe a large amount of audio in storage. Code samples for Go are available in the Microsoft/cognitive-services-speech-sdk-go repository on GitHub. ![]() There are samples for C# (including UWP, Unity, and Xamarin), C++, Java, JavaScript (including Browser and Node.js), Objective-C, Python, and Swift. In depth samples are available in the Azure-Samples/cognitive-services-speech-sdk repository on GitHub. Speech-to-text is available via the Speech SDK, the REST API, and the Speech CLI. To get started, try the speech-to-text quickstart. Microsoft uses the same recognition technology for Windows and Office products. ![]()
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