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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 ).
Transcribing dictation with a Dictaphone wax cylinder dictation machine, in the early 1920s. Note supply of extra wax cylinders on lower part of stand. A dictation machine is a sound recording device most commonly used to record speech for playback or to be typed into print. It includes digital voice recorders and tape recorder .
Acoustic model. 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, [3] and is also capable of translating several non-English languages into English.
Voice computing is the discipline that develops hardware or software to process voice inputs. [1] It spans many other fields including human-computer interaction, conversational computing, linguistics, natural language processing, automatic speech recognition, speech synthesis, audio engineering, digital signal processing, cloud computing, data ...
Website. www .nuance .com. Dragon NaturallySpeaking (also known as Dragon for PC, or DNS) [1] is a speech recognition software package developed by Dragon Systems of Newton, Massachusetts, which was acquired in turn by Lernout & Hauspie Speech Products, Nuance Communications, and Microsoft. It runs on Windows personal computers.
Speech recognition is at an early stage of development. Specialized devices can recognize few words and accuracy is not very high. [1] 1971–1987. Speech recognition rapidly improves, although the technology is still not commercially available. [1] 1987–2014. Speech recognition continues to improve, becomes widely available commercially, and ...
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