stemgen VS speechbrain

Compare stemgen vs speechbrain and see what are their differences.

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stemgen speechbrain
2 26
168 7,869
- 7.1%
7.5 9.8
about 2 months ago 6 days ago
Python Python
MIT License Apache License 2.0
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.

stemgen

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

speechbrain

Posts with mentions or reviews of speechbrain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

What are some alternatives?

When comparing stemgen and speechbrain you can also consider the following projects:

SpleetSpace - Music separation (vocals, drums, instruments) desktop application based on the Spleeter library.

espnet - End-to-End Speech Processing Toolkit

Now-Playing-Serato - Titling software for streamers who use DJ software like Serato, Virtual DJ, and more.

pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

moseca - A Streamilt web app for music source separation & karaoke

Resemblyzer - A python package to analyze and compare voices with deep learning

SynthesiaKontrol - :musical_keyboard: Use Native Instruments Komplete Kontrol mk2 light guide in Synthesia

ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language

spleeter - Deezer source separation library including pretrained models.

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

speech-to-text-benchmark - speech to text benchmark framework

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)