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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 ]
That warning hasn’t stopped hospitals or medical centers from using speech-to-text models, including Whisper, to transcribe what’s said during doctor’s visits to free up medical providers to ...
LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company ...
Before llama.cpp, Gerganov worked on a similar library called whisper.cpp which implemented Whisper, a speech to text model by OpenAI. [9] Gerganov has a background in medical physics, and was part of the Faculty of Physics in Sofia University. [10] In 2006 he won a silver medal in the International Physics Olympiad.
The use of speech recognition is more naturally suited to the generation of narrative text, as part of a radiology/pathology interpretation, progress note or discharge summary: the ergonomic gains of using speech recognition to enter structured discrete data (e.g., numeric values or codes from a list or a controlled vocabulary) are relatively ...
Older generations of Nokia phones like Nokia N Series (before using Windows 7 mobile technology) used speech-recognition with family names from contact list and a few commands. Siri , originally implemented in the iPhone 4S , Apple's personal assistant for iOS , which uses technology from Nuance Communications .
Voice activity detection (VAD), also known as speech activity detection or speech detection, is the detection of the presence or absence of human speech, used in speech processing. [1] The main uses of VAD are in speaker diarization , speech coding and speech recognition . [ 2 ]
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