UniSpeech VS voicefilter

Compare UniSpeech vs voicefilter and see what are their differences.

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UniSpeech voicefilter
1 1
390 1,032
1.3% 1.1%
4.5 0.0
about 1 month ago 3 months ago
Python Python
GNU General Public License v3.0 or later -
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.

voicefilter

Posts with mentions or reviews of voicefilter. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing UniSpeech and voicefilter you can also consider the following projects:

VBx - Variational Bayes HMM over x-vectors diarization

asteroid - The PyTorch-based audio source separation toolkit for researchers

speechbrain - A PyTorch-based Speech Toolkit

thunder-speech - A Hackable speech recognition library.

Conv-TasNet - A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

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

espnet - End-to-End Speech Processing Toolkit

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

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)