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Transcription software assists in the conversion of human speech into a text transcript. Audio or video files can be transcribed manually or automatically. [ 1 ] Transcriptionists can replay a recording several times in a transcription editor and type what they hear.
The transcriptionist can replay the audio several times in a transcription editor and type what he or she hears to manually transcribe files, or with speech recognition technology convert audio files to the text. The manual transcription can be accelerated using different transcription hot keys.
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]
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).
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]
Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]
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