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Whisper

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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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PaddlePaddle / PaddleSpeech

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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.

tts speech-synthesis transformer voice-recognition speech-recognition whisper asr vocoder conformer sound-classification kws self-supervised-learning code-switch voice-cloning speech-translation punctuation-restoration wav2vec2 streaming-asr speech-alignment streaming-tts
  • Updated Apr 25, 2023
  • Python

Created by OpenAI

Released August 2021

Latest release about 1 month ago

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

Related Topics

artificial-intelligence language-modeling machine-learning