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2. Communication access real-time translation - Wikipedia

   en.wikipedia.org/wiki/Communication_access_real...

   Speech-to-text software is used by voice writers to provide CART. CART is useful for making communication accessible to those who are deaf or hard of hearing, as realtime speech-to-text serves many with hearing loss and deafness. Captioning is mandated by the Americans with Disabilities Act (ADA) as an auxiliary aid or service. [3]

3. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   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).

4. Transcription software - Wikipedia

   en.wikipedia.org/wiki/Transcription_software

   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 ...

5. Speech-to-text reporter - Wikipedia

   en.wikipedia.org/wiki/Speech-to-text_reporter

   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 ...

6. Whisper (speech recognition system) - Wikipedia

   en.wikipedia.org/wiki/Whisper_(speech...

   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]

7. Timeline of speech and voice recognition - Wikipedia

   en.wikipedia.org/wiki/Timeline_of_speech_and...

   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 ...