Difference between revisions of "Speech Recognition"

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** [[Video/Image]] ... [[Vision]] ... [[Colorize]] ... [[Image/Video Transfer Learning]]
 
** [[Video/Image]] ... [[Vision]] ... [[Colorize]] ... [[Image/Video Transfer Learning]]
 
* [[Assistants]]  ... [[Agents]]  ... [[Negotiation]] ... [[Hugging_Face#HuggingGPT|HuggingGPT]] ... [[LangChain]]
 
* [[Assistants]]  ... [[Agents]]  ... [[Negotiation]] ... [[Hugging_Face#HuggingGPT|HuggingGPT]] ... [[LangChain]]
* [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ...[[Large Language Model (LLM)|LLM]]  ...[[Natural Language Tools & Services|Tools & Services]]
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* [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Natural Language Tools & Services|Tools & Services]]
 
* [[Attention]] Mechanism  ...[[Transformer]] Model  ...[[Generative Pre-trained Transformer (GPT)]]
 
* [[Attention]] Mechanism  ...[[Transformer]] Model  ...[[Generative Pre-trained Transformer (GPT)]]
 
* [[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]]
 
* [[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]]

Revision as of 13:47, 28 April 2023

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Whisper

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Whisper is an Automatic Speech Recognition Service (ASR) by OpenAI trained on 680,000 hours of multilingual and multitask supervised data collected from the web. 'We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.'

Whisper is a general-purpose speech recognition model. 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. The Whisper v2-large model is currently available through our API with the whisper-1 model name. Currently, there is no difference between the open source version of Whisper and the version available through our API. However, through our API, we offer an optimized inference process which makes running Whisper through our API much faster than doing it through other means. For more technical details on Whisper, you can read the paper. - OpenAI