audio-ai-timeline - A timeline of the latest AI models for audio generation, starting in 2023!
Audio AI Timeline
Here we will keep track of the latest AI models for audio generation, starting in 2023!
2023
| Date | Release | Paper | Code | Trained Model |
|---|---|---|---|---|
| 30.01 | SingSong: Generating musical accompaniments from singing | arXiv | - | - |
| 30.01 | AudioLDM: Text-to-Audio Generation with Latent Diffusion Models | arXiv | GitHub | Hugging Face |
| 30.01 | Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion | arXiv | GitHub | - |
| 29.01 | Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models | - | - | |
| 28.01 | Noise2Music | - | - | - |
| 27.01 | RAVE2 | arXiv | GitHub | - |
| 26.01 | MusicLM: Generating Music From Text | arXiv | - | - |
| 18.01 | Msanii: High Fidelity Music Synthesis on a Shoestring Budget | arXiv | GitHub | Hugging Face Colab |
| 16.01 | ArchiSound: Audio Generation with Diffusion | GitHub | - | |
| 05.01 | VALL-E: Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers | arXiv | - | - |
About
Author：archinetai
热门github
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The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
(翻译：用于生成式 AI 的 Python 风险识别工具 (PyRIT) 是一个开放式访问自动化框架，使安全专业人员和机器学习工程师能够主动发现其生成式 AI 系统中的风险。)
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)
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