Introducing Whisper - OpenAI Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language
Whisper AI - Professional Voice to Text Transcription Advanced AI automatically identifies and labels different speakers in meetings, interviews, and conversations with perfect accuracy Support for large audio and video files in MP3, WAV, M4A, WEBM, MP4 formats with Fast Processing and transcription
GitHub - openai whisper: Robust Speech Recognition via Large-Scale Weak . . . Whisper is a general-purpose speech recognition model It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification
Wispr Flow | Effortless Voice Dictation Flow is the only voice-to-text tool that works on any app or device, with your personal dictionary, style, and settings synced everywhere Flow runs natively on Mac, Windows, iOS, and Android Use it at your desk for deep work, and on your phone when you're on the move
Whisperer - Adam Aaronson Whisper meme generator Create your own Whisper images using the classic Whisper font!
Whisper (speech recognition system) - Wikipedia Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022 [4] It is capable of transcribing speech in English and multiple other languages, and can translate several non-English languages into English [1]
Whisper (app) - Wikipedia Whisper (app) Whisper was a free proprietary mobile app It was a form of anonymous social media, allowing users to post and share photo and video messages anonymously, [4][5] although this claim has been challenged with privacy concerns over Whisper's handling of user data [6]
openai whisper-large-v3 · Hugging Face Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al from OpenAI
Whisper. cpp: Port of OpenAIs Whisper model in C C++ - GitHub whisper cpp supports POWER architectures and includes code which significantly speeds operation on Linux running on POWER9 10, making it capable of faster-than-realtime transcription on underclocked Raptor Talos II