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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…

eess.AS2025

Time-Layer Adaptive Alignment for Speaker Similarity in Flow-Matching Based Zero-Shot TTS

Haoyu Li, Mingyang Han, Yu Xi +8

Flow-Matching (FM)-based zero-shot text-to-speech (TTS) systems exhibit high-quality speech synthesis and robust generalization capabilities. However, the speaker representation ab…

eess.AS2025

Joint decoding method for controllable contextual speech recognition based on Speech LLM

Yangui Fang, Jing Peng, Yu Xi +5

Contextual speech recognition refers to the ability to identify preferences for specific content based on contextual information. Recently, leveraging the contextual understanding…

eess.AS2025

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding

Yu Xi, Haoyu Li, Xiaoyu Gu +2

Keyword spotting (KWS) is essential for voice-driven applications, demanding both accuracy and efficiency. Traditional ASR-based KWS methods, such as greedy and beam search, explor…

eess.AS2025

Low-Resource Domain Adaptation for Speech LLMs via Text-Only Fine-Tuning

Yangui Fang, Jing Peng, Xu Li +4

Recent advances in automatic speech recognition (ASR) have combined speech encoders with large language models (LLMs) through projection, forming Speech LLMs with strong performanc…