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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 ...
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).
The transcription machine is a special purpose machine which is used for word or voice processing. This special device manages audio video recording to transcribe them into written or hard copy form. So transcription machines are combination of transcribers and dictation machines.
Medical transcription, also known as MT, is an allied health profession dealing with the process of transcribing voice-recorded medical reports that are dictated by physicians, nurses and other healthcare practitioners. Medical reports can be voice files, notes taken during a lecture, or other spoken material.
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At the time, the company was the first to receive such a distinction in Austria. 1991 marked the launch of Voice System 4000, which became a standard for hospitals worldwide. In 1994 Philips Speech Processing won the IF Design Award for their Pocket Memo 293. In 1995 the company developed SpeechNote, a dictation and transcription software.
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