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pith:2025:TGUESTQNQDO7XREYQJTEADR6PW
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Step-Audio 2 Technical Report

Bingxin Li, Bin Wang, Binxing Jiao, Bo Li, Boyong Wu, Brian Li, Buyun Ma, Changhe Song, Changxin Miao, Changyi Wan, Chao Yan, Che Liu, Chengli Feng, Cheng Yi, Chen Hu, Chen Xu, Dapeng Shi, Daxin Jiang, Dingyuan Hu, Donghang Wu, Dongqing Pang, Enle Liu, Fei Tian, Feiyu Shen, Gang Yu, Guanzhe Huang, Gulin Yan, Guoqiang Hu, Haiyang Sun, Hanpeng Hu, Han Zhang, Haonan Jia, Hao Nie, Haoyang Zhang, Heung-Yeung Shum, Hongyu Zhou, Jiangjie Zhen, Jianjian Sun, Jiansheng Chen, Jiaoren Wu, Jie Wu, Jie Yang, Jingbei Li, Jing Li, Jin Yang, Junzhe Lin, Kaixiang Li, Kang An, Lei Yang, Liying Shi, Li Zhou, Longlong Gu, Ming Li, Mingliang Li, Mingrui Chen, Mingxiao Li, Nan Wu, Na Wang, Peng Liu, Qi Han, Qinyuan Tan, Shaoliang Pang, Shengjie Fan, Shuli Gao, Siqi Liu, Siyu Chen, Song Yuan, Tiancheng Cao, Wang You, Wanying Lu, Wei Ji, Wen Li, Wenqing He, Wen Sun, Wuxun Xie, Xiangyu Tony Zhang, Xiangyu Zhang, Xingyuan Li, Xuan Wen, Xuelin Zhang, Xueqi Li, Xuerui Yang, Xu Zhao, Yanbo Yu, Yang Yang, Yayue Deng, Yechang Huang, Yibo Zhu, Yifan Lu, Yilei Wang, Yi Liu, Yimin Jiang, Yong Ren, Yuanhao Ding, Yuankai Ma, Yuanwei Liang, Yuanwei Lu, Yuchu Luo, Yufan Lu, Yuhe Yin, Yumeng Zhan, Yuxiang Yang, Yuxiang Zhang, Yuxin Li, Yuxin Zhang, Yu Zhou, Zhao You, Zidong Yang, Zixin Zhang

Step-Audio 2 integrates latent audio encoding and discrete token generation to deliver state-of-the-art audio understanding and expressive end-to-end speech conversation.

arxiv:2507.16632 v3 · 2025-07-22 · cs.CL · cs.SD · eess.AS

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Step-Audio 2 achieves state-of-the-art performance on various audio understanding and conversational benchmarks compared to other open-source and commercial solutions.

C2weakest assumption

That the combination of latent audio encoding, reasoning-centric RL, discrete token generation, and RAG integration produces robust, generalizable performance on real-world conversational tasks beyond the reported benchmarks.

C3one line summary

Step-Audio 2 integrates a latent audio encoder, reasoning-centric reinforcement learning, and discrete audio token generation into language modeling to deliver state-of-the-art performance on audio understanding and conversational benchmarks.

References

84 extracted · 84 resolved · 23 Pith anchors

[1] Seed-TTS: A Family of High-Quality Versatile Speech Generation Models 2024 · arXiv:2406.02430
[2] PaLM 2 Technical Report 2023 · arXiv:2305.10403
[3] wav2vec 2.0: A framework for self-supervised learning of speech representations 2020
[4] Qwen Technical Report 2023 · arXiv:2309.16609
[5] Seed-asr: Understanding diverse speech and contexts with llm-based speech recognition 2024

Cited by

29 papers in Pith

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First computed 2026-05-17T23:38:48.906177Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

99a8494e0d80ddfbc4988266400e3e7da65ffb3402ae02d35f2cf6aeb0238abc

Aliases

arxiv: 2507.16632 · arxiv_version: 2507.16632v3 · doi: 10.48550/arxiv.2507.16632 · pith_short_12: TGUESTQNQDO7 · pith_short_16: TGUESTQNQDO7XREY · pith_short_8: TGUESTQN
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TGUESTQNQDO7XREYQJTEADR6PW \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 99a8494e0d80ddfbc4988266400e3e7da65ffb3402ae02d35f2cf6aeb0238abc
Canonical record JSON
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    "submitted_at": "2025-07-22T14:23:55Z",
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