wer_are_we VS whisper

Compare wer_are_we vs whisper and see what are their differences.

wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition. (by syhw)
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wer_are_we whisper
4 1
1,862 0
- -
1.8 0.0
almost 2 years ago over 1 year ago
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

wer_are_we

Posts with mentions or reviews of wer_are_we. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.

whisper

Posts with mentions or reviews of whisper. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.

What are some alternatives?

When comparing wer_are_we and whisper you can also consider the following projects:

plaidml - PlaidML is a framework for making deep learning work everywhere.

DeepSpeech-examples - Examples of how to use or integrate DeepSpeech

openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.

py-webrtcvad - Python interface to the WebRTC Voice Activity Detector

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

trashbot - Trashbot helper AI assistant

stable-diffusion - A latent text-to-image diffusion model

whisper - Robust Speech Recognition via Large-Scale Weak Supervision