most citedStep-Audio: Unified Understanding and Generation in Intelligent Speech Interaction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Step-Audio-R1 Technical Report

Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang +14

Recent advances in reasoning models have demonstrated remarkable success in text and vision domains through extended chain-of-thought deliberation. However, a perplexing phenomenon…

cs.CL2025

Step-Audio-EditX Technical Report

Chao Yan, Boyong Wu, Peng Yang +12

We present Step-Audio-EditX, the first open-source LLM-based audio model excelling at expressive and iterative audio editing encompassing emotion, speaking style, and paralinguisti…

eess.AS2025

MULTI-Bench: A Multi-Turn Interactive Benchmark for Assessing Emotional Intelligence ability of Spoken Dialogue Models

Yayue Deng, Guoqiang Hu, Haiyang Sun +6

Spoken Dialogue Models (SDMs) have advanced rapidly, yet their ability to sustain genuinely interactive multi-turn conversations remains underexplored, as most benchmarks focus on…

cs.SD2025

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Ailin Huang, Bingxin Li, Bruce Wang +73

Large Audio-Language Models (LALMs) have significantly advanced intelligent human-computer interaction, yet their reliance on text-based outputs limits their ability to generate na…

cs.CL2025

Impact of Frame Rates on Speech Tokenizer: A Case Study on Mandarin and English

Haoyang Zhang, Hexin Liu, Xiangyu Zhang +7

The speech tokenizer plays a crucial role in recent speech tasks, generally serving as a bridge between speech signals and language models. While low-frame-rate codecs are widely e…

cs.CL20251 cited

Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction

Ailin Huang, Boyong Wu, Bruce Wang +142

Real-time speech interaction, serving as a fundamental interface for human-machine collaboration, holds immense potential. However, current open-source models face limitations such…