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- Generative AI: OpenAI’s Whisper. — FRANKI T
Whisper’s power 🔥 Its high accuracy and robustness Compared to Siri, Alexa, and Google Assistant, Whisper understands fast-spoken, mumbling, or jargon-filled voice recordings very accurately Andrej Karpathy, former director of AI at Tesla and OpenAI, now an independent researcher (that’s cool), has tested it and the results are striking
- 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
- OpenAI Whisper: A Comprehensive Guide for AI Prompt Engineers
OpenAI Whisper represents a significant leap forward in the field of automatic speech recognition Developed by the renowned AI research laboratory OpenAI, Whisper is designed to convert spoken language into written text with unprecedented accuracy and versatility
- OpenAI’s Whisper — What is it and How does it revolutionize . . .
How does Whisper work? Whisper’s effectiveness is rooted in its sophisticated sequence-to-sequence model architecture This design is pivotal for translating complex audio inputs into
- What is OpenAI Whisper and how to use this speech-to-text . . .
How does Whisper AI work in detail? Once the system receives audio input, it splits the recording into chunks and converts them into log-mel spectrograms that show frequency over time The encoder receives the spectrograms and transforms them into vector representations – embeddings
- 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 [ 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 ]
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