Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large
  Audio Language Models
We present Audio Flamingo 3 (AF3), a fully open state-of-the-art (SOTA) large
audio-language model that advances reasoning and understanding across speech,
sound, and music. AF3 introduces: (i) AF-Whisper, a unified audio encoder
trained using a novel strategy for joint representation learning across all 3
modalities of speech, sound, and music; (ii) flexible, on-demand thinking,
allowing the model to do chain-of-thought-type reasoning before answering;
(iii) multi-turn, multi-audio chat; (iv) long audio understanding and reasoning
(including speech) up to 10 minutes; and (v) voice-to-voice interaction. To
enable these capabilities, we propose several large-scale training datasets
curated using novel strategies, including AudioSkills-XL, LongAudio-XL,
AF-Think, and AF-Chat, and train AF3 with a novel five-stage curriculum-based
training strategy. Trained on only open-source audio data, AF3 achieves new
SOTA results on over 20+ (long) audio understanding and reasoning benchmarks,
surpassing both open-weight and closed-source models trained on much larger
datasets.
687486d6257d4f0435370301
Arushi Goel
687486d6257d4f0435370302
Sreyan Ghosh
claimed_verified
2025-07-15T19:10:32.937Z
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Ghosh
user
Sreyan88
687486d6257d4f0435370303
Jaehyeon Kim
687486d6257d4f0435370304
Sonal Kumar
claimed_verified
2025-08-28T08:57:11.352Z
65203f31d6dec04046139874
https://cdn-avatars.huggingface.co/v1/production/uploads/65203f31d6dec04046139874/1LDWW4KblYeIDve9F_kUA.png
Sonal Kumar
user
sonalkum
687486d6257d4f0435370305
Zhifeng Kong
687486d6257d4f0435370306
Sang-gil Lee
687486d6257d4f0435370307
Chao-Han Huck Yang
687486d6257d4f0435370308
Ramani Duraiswami
claimed_verified
2025-09-01T07:55:31.047Z
65b8f0339b7250e205100190
/avatars/29df91154c5911a44ef503bb3580ac81.svg
Ramani Duraiswami
user
RamaniD
687486d6257d4f0435370309
Dinesh Manocha
687486d6257d4f043537030a
Rafael Valle
687486d6257d4f043537030b
Bryan Catanzaro
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large
  Audio Language Models
We present Audio Flamingo 3 (AF3), a fully open state-of-the-art (SOTA) large
audio-language model that advances reasoning and understanding across speech,
sound, and music. AF3 introduces: (i) AF-Whisper, a unified audio encoder
trained using a novel strategy for joint representation learning across all 3
modalities of speech, sound, and music; (ii) flexible, on-demand thinking,
allowing the model to do chain-of-thought-type reasoning before answering;
(iii) multi-turn, multi-audio chat; (iv) long audio understanding and reasoning
(including speech) up to 10 minutes; and (v) voice-to-voice interaction. To
enable these capabilities, we propose several large-scale training datasets
curated using novel strategies, including AudioSkills-XL, LongAudio-XL,
AF-Think, and AF-Chat, and train AF3 with a novel five-stage curriculum-based
training strategy. Trained on only open-source audio data, AF3 achieves new
SOTA results on over 20+ (long) audio understanding and reasoning benchmarks,
surpassing both open-weight and closed-source models trained on much larger
datasets.
Audio Flamingo 3, a state-of-the-art audio-language model, advances reasoning and understanding across speech, sound, and music through a unified audio encoder and novel training strategies.
audio encoder joint representation learning chain-of-thought-type reasoning multi-turn chat long audio understanding voice-to-voice interaction AudioSkills-XL LongAudio-XL AF-Think AF-Chat curriculum-based training