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From the 1 of 19 linked papers with an AI index.

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20242026
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eess.AS2026

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings

Shuai Wang, Zihan Qian, Ke Zhang +9

The paper presents the REAL‑TSE Challenge, a benchmark for extracting a target speaker’s voice from real conversational recordings in Mandarin and English, with both online low‑lat…

eess.AS2026

Detect, Attend and Extract: Keyword Guided Target Speaker Extraction

Haoyu Li, Yu Xi, Yidi Jiang +5

Target speaker extraction (TSE) aims to extract the speech of a target speaker from mixtures containing multiple competing speakers. Conventional TSE systems predominantly rely on…

eess.AS2026

G-STAR: End-to-End Global Speaker-Tracking Attributed Recognition

Jing Peng, Ziyi Chen, Haoyu Li +7

We study timestamped speaker-attributed automatic speech recognition (SA-ASR) for long-form, multi-party speech with overlap. In this setting, chunk-wise inference must preserve me…

eess.AS2026

Audio-Mind: An Auditable Agentic Framework for Audio Understanding

Yucheng Wang, Jing Peng, Hanqi Li +6

Audio agents extend large audio-language models (LALMs) by decomposing audio questions into tool calls, intermediate evidence, and iterative reasoning steps. However, as LALMs beco…

eess.AS2026

Dual-LoRA: Parameter-Efficient Adversarial Disentanglement for Cross-Lingual Speaker Verification

Qituan Shangguan, Junhao Du, Kunyang Peng +5

Cross-lingual speaker verification suffers from severe language-speaker entanglement. This causes systematic degradation in the hardest scenario: correctly accepting utterances fro…

eess.AS2026

TASU2: Controllable CTC Simulation for Alignment and Low-Resource Adaptation of Speech LLMs

Jing Peng, Chenghao Wang, Yi Yang +5

Speech LLM post-training increasingly relies on efficient cross-modal alignment and robust low-resource adaptation, yet collecting large-scale audio-text pairs remains costly. Text…