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OpenAI Whisper architecture A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. The Whisper architecture is based on an encoder-decoder transformer. [1] Input audio is resampled to 16,000 Hz and converting to an 80-channel log-magnitude Mel spectrogram using 25 ms windows with a 10 ms stride. The ...
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 ...
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 ...
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.
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 .
Released in 2022, Whisper is a general-purpose speech recognition model. [220] It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. [221]
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