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Whisper

Whisper is an autoregressive language model developed by OpenAI. It is trained on a large corpus of text using a transformer architecture and is capable of generating high-quality natural language text. Whisper can be used for tasks such as language modeling, text completion, and text generation. It has shown impressive performance on various benchmarks and has been released by OpenAI to encourage research in the field of language modeling. Whisper is not yet available for public use, but it has the potential to transform the field of natural language processing and generate new opportunities for language-based applications.

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Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

  • Updated Apr 16, 2024
  • Python

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models. |语音识别工具包,包含丰富的性能优越的开源预训练模型,支持语音识别、语音端点检测、文本后处理等,具备服务部署能力。

  • Updated Apr 27, 2024
  • Python

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

  • Updated Apr 26, 2024
  • Python

Created by OpenAI

Released August 2021

Latest release 5 months ago

Followers
77 followers
Repository
openai/whisper
Website
openai.com/blog/whisper

Related Topics

artificial-intelligence language-modeling machine-learning