Whisper topic
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.
PaddleSpeech
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 a...
speech-conversion-between-different-modalities
Generative Adversarial Networks for different impaired speech conversions
vid2cleantxt
Python API & command-line tool to easily transcribe speech-based video files into clean text
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
auto-subtitle
Automatically generate and overlay subtitles for any video.
whispering
Streaming transcriber with whisper
anima
Turn text into video using Stable Diffusion and Google FILM
whisper-playground
Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/
pywhisper
openai/whisper + extra features
whisper-openvino
openvino version of openai/whisper