Awesome-Video-Diffusion VS SpeechT5

Compare Awesome-Video-Diffusion vs SpeechT5 and see what are their differences.

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Awesome-Video-Diffusion SpeechT5
1 4
2,478 1,037
9.3% 6.7%
8.9 7.1
14 days ago 20 days ago
Python
- 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.

Awesome-Video-Diffusion

Posts with mentions or reviews of Awesome-Video-Diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-19.

SpeechT5

Posts with mentions or reviews of SpeechT5. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-19.

What are some alternatives?

When comparing Awesome-Video-Diffusion and SpeechT5 you can also consider the following projects:

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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.

video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

espnet - End-to-End Speech Processing Toolkit

storyteller - Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech

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)

ReuseAndDiffuse - Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation

CLAP - Contrastive Language-Audio Pretraining

Gen-L-Video - The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

AudioMAE - This repo hosts the code and models of "Masked Autoencoders that Listen".