几篇论文实现代码:《Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities》(ICML 2024) GitHub: github.com/NVIDIA/audio-flamingo [fig5] 《Variational Bayesian L...
我们确保所选的音频样本不包含在AudioCaps中。最后,我们采用针对我们的文本到音频(TTA)任务,由Audio-Flamingo生成的[23]字幕。最终,我们得到的零样本集和少样本集的样本数量分别为5546个和601个。 3.2 检索方法 我们的目标是检索音频样本,将其作为文本到音频(TTA)过程的额外上下文。在训练期间,我们执行音频到音频(...
我们确保所选的音频样本不包含在AudioCaps中。最后,我们采用针对我们的文本到音频(TTA)任务,由Audio-Flamingo生成的[23]字幕。最终,我们得到的零样本集和少样本集的样本数量分别为5546个和601个。 3.2 检索方法 我们的目标是检索音频样本,将其作为文本到音频(TTA)过程的额外上下文。在训练期间,我们执行音频到音频(...
[InterSpeech-2024] Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation Authors: Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogerio Feris, James Glass Institution: MIT, USA; IBMResearch AI, USA; MIT-IBM...
[InterSpeech-2024] Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation Authors: Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogerio Feris, James Glass Institution: MIT, USA; IBMResearch AI, USA; MIT-IBM...
conda create -n whisper-flamingo python=3.8 -y conda activate whisper-flamingo Clone MuAViC repo and install their requirements: conda install -c conda-forge ffmpeg==4.2.2 -y conda install -c conda-forge sox -y git clone https://github.com/facebookresearch/muavic.git muavic-setup cd mu...
[M3W] Flamingo: a Visual Language Model for Few-Shot Learning (29 Apr 2022)[NeurIPS 2022] Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm ...
1.⚡Speech Representation Models:These models focus on learning structural speech representations, which can then be quantized into discrete speech tokens, often refer tosemantic tokens. 2.⚡Speech Neural Codec Models:These models are designed to learn speech and audio discrete tokens, often referre...
例如,Flamingo利用感知器重采样器和门控交叉注意力层连接冻结的图像编码器和LLMs。BLIP2引入Q-Former将学习的图像查询映射到LLMs的文本嵌入空间。mPLUG-owl和MiniGPT4使用图像-指令数据集开发了遵循指令的图像-LLMs。Video-Chat和Video-ChatGPT将图像编码器扩展到视频编码器,并与LLMs连接以理解视频中的视觉内容。
[InterSpeech-2024] Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation Authors: Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogerio Feris, James Glass Institution: MIT, USA; IBMResearch AI, USA; MIT-IBM...