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2. Whisper (speech recognition system) - Wikipedia

   en.wikipedia.org/wiki/Whisper_(speech...

   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 ...

3. Transcription software - Wikipedia

   en.wikipedia.org/wiki/Transcription_software

   Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions. The definition of transcription "software", as compared with transcription "service", is that the former is sufficiently automated that a user can run ...

4. OpenAI is making ChatGPT and Whisper available to third ... - AOL

   www.aol.com/news/openai-making-chatgpt-whisper...

   On Wednesday, OpenAI announced an API for ChatGPT and Whisper, another one of its products which transcribes speech to text. This means third-party developers will be able to integrate ChatGPT and ...

5. llama.cpp - Wikipedia

   en.wikipedia.org/wiki/Llama.cpp

   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.

6. From passwords to medical records,10 things to never say to ...

   www.aol.com/passwords-medical-records-10-things...

   Sensitive financial information: Never include bank account numbers, credit card details, or other money matters in docs or text you upload. AI tools aren’t secure vaults ‒ treat them like a ...

7. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   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).