UniSpeech VS thunder-speech

Compare UniSpeech vs thunder-speech and see what are their differences.

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UniSpeech thunder-speech
1 1
390 25
1.3% -
4.5 0.0
about 1 month ago 6 months ago
Python Python
GNU General Public License v3.0 or later 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.

UniSpeech

Posts with mentions or reviews of UniSpeech. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.

thunder-speech

Posts with mentions or reviews of thunder-speech. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.

What are some alternatives?

When comparing UniSpeech and thunder-speech you can also consider the following projects:

VBx - Variational Bayes HMM over x-vectors diarization

SALMONN - SALMONN: Speech Audio Language Music Open Neural Network

speechbrain - A PyTorch-based Speech Toolkit

voicefilter - Unofficial PyTorch implementation of Google AI's VoiceFilter system

lhotse - Tools for handling speech data in machine learning projects.

hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

ECAPA-TDNN - Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

espnet - End-to-End Speech Processing Toolkit

Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.

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)