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With speech recognition technology, transcriptionists can automatically convert recordings to text transcripts by opening recordings in a PC and uploading them to a cloud for automatic transcription, or transcribe recordings in real-time by using digital dictation. Depending on quality of recordings, machine generated transcripts may still need ...
A speech-to-text reporter (STTR), also known as a captioner, is a person who listens to what is being said and inputs it, word for word (), as properly written texts.Many captioners use tools (such as a shorthand keyboard, speech recognition software, or a computer-aided transcription software system), which commonly convert verbally communicated information into written words to be composed ...
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).
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
Google launches the Voice Search app for the iPhone, bringing speech recognition technology to mobile devices. [11] 2011: October 4: Invention: Apple announces Siri, a digital personal assistant. In addition to being able to recognize speech, Siri is able to understand the meaning of what it is told and take appropriate action. [12] 2014: April ...
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