nvidia/audio-flamingo-2 · Hugging Face (original) (raw)

PyTorch Implementation of Audio Flamingo 2

Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, Bryan Catanzaro

[paper] [Demo website] [GitHub]

This repo contains the PyTorch implementation of Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities. Audio Flamingo 2 achieves the state-of-the-art performance across over 20 benchmarks, with only a 3B parameter small language model. It is improved from our previous Audio Flamingo.

Main Results

Audio Flamingo 2 outperforms prior SOTA models including GAMA, Audio Flamingo, Qwen-Audio, Qwen2-Audio, LTU, LTU-AS, SALMONN, AudioGPT, Gemini Flash v2, Gemini Pro v1.5, and GPT-4o-audio on a number of understanding and reasoning benchmarks.

Audio Flamingo 2 Architecture

Audio Flamingo 2 uses a cross-attention architecture similar to Audio Flamingo and Flamingo. Audio Flamingo 2 can take up to 5 minutes of audio inputs.

License

Citation

@inproceedings{
ghosh2025audio,
title={Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities},
author={Sreyan Ghosh and Zhifeng Kong and Sonal Kumar and S Sakshi and Jaehyeon Kim and Wei Ping and Rafael Valle and Dinesh Manocha and Bryan Catanzaro},
booktitle={Forty-second International Conference on Machine Learning},
year={2025},
url={https://openreview.net/forum?id=xWu5qpDK6U}
}
@inproceedings{kong2024audio,
  title={Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities},
  author={Kong, Zhifeng and Goel, Arushi and Badlani, Rohan and Ping, Wei and Valle, Rafael and Catanzaro, Bryan},
  booktitle={International Conference on Machine Learning},
  pages={25125--25148},
  year={2024},
  organization={PMLR}
}