This automatically generated text output leverages speech models (defined below) and is sometimes referred to as machine transcription or automated speech recognition (ASR). The text output of the Speech-to-Text feature. One utterance may consist of a single word or multiple words, such as a phrase. Speech-to-Text generates text for the voice parts of audio input.Ī component of audio input that contains human voice. Audio input may contain not only voice, but also silence and non-speech noise. The streamed audio data or audio file that is used as an input for the speech-to-text feature. Please see the latest list of supported locales in Language and voice support for the Speech service. Speech-to-Text supports over 140 locales for inputs. Speech-to-Text, also known as automatic speech recognition (ASR), is a feature under Speech Services (See What is Speech-to-Text?), that converts spoken audio into text. To find out more, see Microsoft's AI principles. Microsoft's Transparency notes are part of a broader effort at Microsoft to put our AI principles into practice. You can use Transparency Notes when developing or deploying your own system, or share them with the people who will use or be affected by your system. Microsoft's Transparency Notes are intended to help you understand how our AI technology works, the choices system owners can make that influence system performance and behavior, and the importance of thinking about the whole system, including the technology, the people, and the environment. Creating a system that is fit for its intended purpose requires an understanding of how the technology works, its capabilities and limitations, and how to achieve the best performance. Feedback In this article What is a Transparency note?Īn AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed.
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