Transformer-SSL VS PaddleSpeech

Compare Transformer-SSL vs PaddleSpeech and see what are their differences.

Transformer-SSL

This is an official implementation for "Self-Supervised Learning with Swin Transformers". (by SwinTransformer)

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 and Keyword Spotting. Won NAACL2022 Best Demo Award. (by PaddlePaddle)
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Transformer-SSL PaddleSpeech
2 6
589 10,120
0.0% 3.4%
0.0 7.6
almost 3 years ago 13 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.

Transformer-SSL

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

PaddleSpeech

Posts with mentions or reviews of PaddleSpeech. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

What are some alternatives?

When comparing Transformer-SSL and PaddleSpeech you can also consider the following projects:

dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

TTS - πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

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)

lightly - A python library for self-supervised learning on images.

TensorVox - Desktop application for neural speech synthesis written in C++

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

common-voice-android - Repository of "CV Project" app. It's an unofficial app for Mozilla Common Voice, which permits you to contribute to this project via your device.

TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

kaldi-offline-transcriber - Offline transcription system for Estonian using Kaldi