Whisper

Whisper

Whisper is a robust AI-powered speech recognition tool that uses large-scale weak supervision. It is a general-purpose model that can perform multilingual speech recognition, speech translation, and spoken language identification. It is based on a sequence-to-sequence model that allows for joint representation of sequence tokens and prediction decoding. It offers five available model sizes with varying speed and accuracy tradeoffs. It is open-source under the MIT license.

Speech to text Audio Free

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Search Result For "Whisper AI Tool"

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Generative AI Tools - Generative AI Ad Viewing ads is privacy protected by DuckDuckGo. Ad clicks are managed by Microsoft's ad network (more info).

Streamline customer touchpoints with a generative AI assistant for agents and chatbots. Discover how generative AI can boost low-code productivity and empower developers [Continue..]
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Top AI Tools in One Click - Powered by OpenAI ChatGPT4 Ad Viewing ads is privacy protected by DuckDuckGo. Ad clicks are managed by Microsoft's ad network (more info).

Join 3M+ users enjoying AI multitasking. Add to your browser today! Streamline tasks with top AIs. Enhance browsing, email, content creation & data analysis. [Continue..]
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Introducing Whisper - OpenAI

The Whisper architecture is a simple end-to-end approach, implemented as an encoder-decoder Transformer. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder. A decoder is trained to predict the corresponding text caption, intermixed with special tokens that direct the single model to ... [Continue..]
openai.com


GitHub - openai/whisper: Robust Speech Recognition via Large-Scale Weak ...

import whisper model = whisper. load_model ("base") result = model. transcribe ("audio.mp3") print (result ["text"]) Internally, the transcribe() method reads the entire file and processes the audio with a sliding 30-second window, performing autoregressive sequence-to-sequence predictions on each window. [Continue..]
github.com


How to Turn Audio to Text using OpenAI Whisper - freeCodeCamp.org

Before we dive into the code, you need two things: OpenAI API Key. Sample audio file. First, install the OpenAI library (Use ! only if you are installing it on the notebook): !pip install openai. Now let's write the code to transcribe a sample speech file to text: #Import the openai Library. from openai import OpenAI. [Continue..]
www.freecodecamp.org


Last Updated: Apr 20, 2024.