most citedQwen2.5-Omni Technical Report

12 citations · 15 across the 10 of their papers we have counts for

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cs.SD2026

Fourier is Frontier: Frequency-Aware Autoencoding for High-Fidelity Music Reconstruction

Kangdi Wang, Yusheng Dai, Jin Xu

Continuous-latent audio autoencoders form the backbone of latent music generators, yet decoders at high compression rates commonly exhibit three failure modes: high-frequency loss,…

cs.SD2026

Qwen-Music Technical Report

Jin Xu, Kangdi Wang, Ruibin Yuan +24

In this report, we introduce Qwen-Music, a powerful music generation model capable of producing highly musical and high-fidelity songs with complete vocal singing. Qwen-Music suppo…

cs.SD2026

Semantic-Aware Interruption Detection in Spoken Dialogue Systems: Benchmark, Metric, and Model

Kangxiang Xia, Bingshen Mu, Xian Shi +2

Achieving natural full-duplex interaction in spoken dialogue systems (SDS) remains a challenge due to the difficulty of accurately detecting user interruptions. Current solutions a…

cs.SD20261 cited

Qwen3-TTS Technical Report

Hangrui Hu, Xinfa Zhu, Ting He +13

In this report, we present the Qwen3-TTS series, a family of advanced multilingual, controllable, robust, and streaming text-to-speech models. Qwen3-TTS supports state-of-the-art 3…

cs.SD2025

InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training

Dingdong Wang, Jin Xu, Ruihang Chu +6

Recent advancements in speech large language models (SpeechLLMs) have attracted considerable attention. Nonetheless, current methods exhibit suboptimal performance in adhering to s…

cs.SD2025

WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models

Yifu Chen, Shengpeng Ji, Haoxiao Wang +5

Retrieval Augmented Generation (RAG) has gained widespread adoption owing to its capacity to empower large language models (LLMs) to integrate external knowledge. However, existing…