Difference between revisions of "Speech Recognition"
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|title=PRIMO.ai | |title=PRIMO.ai | ||
|titlemode=append | |titlemode=append | ||
− | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
− | |description=Helpful resources for your journey with artificial intelligence; | + | |
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− | [https://www.youtube.com/results?search_query= | + | [https://www.youtube.com/results?search_query=ai+Recognition+speech+nlp YouTube] |
− | [https://www.google.com/search?q= | + | [https://www.quora.com/search?q=ai%20Recognition%20~speech%20nlp ... Quora] |
+ | [https://www.google.com/search?q=ai+Recognition+speech+nlp ...Google search] | ||
+ | [https://news.google.com/search?q=ai+Recognition+speech+nlp ...Google News] | ||
+ | [https://www.bing.com/news/search?q=ai+Recognition+speech+nlp&qft=interval%3d%228%22 ...Bing News] | ||
− | * [[ | + | * [[End-to-End Speech]] ... [[Synthesize Speech]] ... [[Speech Recognition]] ... [[Music]] |
− | * [[ | + | * [[Video/Image]] ... [[Vision]] ... [[Enhancement]] ... [[Fake]] ... [[Reconstruction]] ... [[Colorize]] ... [[Occlusions]] ... [[Predict image]] ... [[Image/Video Transfer Learning]] ... [[Art]] ... [[Photography]] |
− | * [[Assistants]] ... [[ | + | * [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]] |
− | * [[Recurrent Neural | + | * [[Collective Animal Intelligence]] ... [[Animal Ecology]] ... [[Animal Language]] ... [[Bird Identification]] |
+ | * [[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]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]] | ||
+ | * [[Attention]] Mechanism ...[[Transformer]] ...[[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]] | ||
+ | * [[Recurrent Neural Network (RNN)]] and [[Long Short-Term Memory (LSTM)]] | ||
+ | * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]] | ||
+ | * [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]] | ||
+ | * [[ImageBind]] | [[Meta]] | ||
* [http://www.theverge.com/2022/9/23/23367296/openai-whisper-transcription-speech-recognition-open-source Iused] | * [http://www.theverge.com/2022/9/23/23367296/openai-whisper-transcription-speech-recognition-open-source Iused] | ||
+ | * [https://www.marktechpost.com/2023/03/15/speechmatics-introduces-ursa-a-speech-to-text-system-that-delivers-unprecedented-performance-across-a-diverse-range-of-voices/ Speechmatics Introduces Ursa: A Speech-To-Text System That Delivers Unprecedented Performance Across A Diverse Range of Voices | Tanushree Shenwai - MarkTechPost] | ||
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− | = | + | = <span id="Automatic Speech Recognition (ASR)"></span>Automatic Speech Recognition (ASR) = |
+ | <youtube>PH7V6fKYQQw</youtube> | ||
+ | |||
+ | = <span id="Whisper"></span>Whisper = | ||
[https://www.youtube.com/results?search_query=Whisper+OpenAI YouTube search...] | [https://www.youtube.com/results?search_query=Whisper+OpenAI YouTube search...] | ||
[https://www.google.com/search?q=Whisper+OpenAI ...Google search] | [https://www.google.com/search?q=Whisper+OpenAI ...Google search] | ||
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* [https://blog.lumberjacksystem.com/2023/02/14/builder-4-06-with-batch-export-of-stories-updated-speech-to-text-engine-and-b-raw-audio-only-playback-support/ Lumberjack System] | * [https://blog.lumberjacksystem.com/2023/02/14/builder-4-06-with-batch-export-of-stories-updated-speech-to-text-engine-and-b-raw-audio-only-playback-support/ Lumberjack System] | ||
− | + | 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 an | ||
− | + | 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]] | |
+ | <youtube>Ph6K_0ttsSc</youtube> | ||
<youtube>OCBZtgQGt1I</youtube> | <youtube>OCBZtgQGt1I</youtube> | ||
− |
Latest revision as of 08:04, 23 March 2024
YouTube ... Quora ...Google search ...Google News ...Bing News
- End-to-End Speech ... Synthesize Speech ... Speech Recognition ... Music
- Video/Image ... Vision ... Enhancement ... Fake ... Reconstruction ... Colorize ... Occlusions ... Predict image ... Image/Video Transfer Learning ... Art ... Photography
- Agents ... Robotic Process Automation ... Assistants ... Personal Companions ... Productivity ... Email ... Negotiation ... LangChain
- Collective Animal Intelligence ... Animal Ecology ... Animal Language ... Bird Identification
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
- Attention Mechanism ...Transformer ...Generative Pre-trained Transformer (GPT) ... GAN ... BERT
- Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM)
- Artificial Intelligence (AI) ... Generative AI ... Machine Learning (ML) ... Deep Learning ... Neural Network ... Reinforcement ... Learning Techniques
- Conversational AI ... ChatGPT | OpenAI ... Bing/Copilot | Microsoft ... Gemini | Google ... Claude | Anthropic ... Perplexity ... You ... phind ... Ernie | Baidu
- ImageBind | Meta
- Iused
- Speechmatics Introduces Ursa: A Speech-To-Text System That Delivers Unprecedented Performance Across A Diverse Range of Voices | Tanushree Shenwai - MarkTechPost
Automatic Speech Recognition (ASR)
Whisper
YouTube search... ...Google search
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