A speech enhancement framework that jointly models Mel-spectrogram and complex spectrogram in a dual-path architecture for improved ASR performance and higher-quality speech reconstruction, and demonstrates consistent improvements in speech fidelity, perceptual quality, and ASR performance.
Xing-Chen Li, Zi-Qian Wang, Zi-Kai Liu et al.· 0 citations
This work proposes TurnFSM, an LLM-based state prediction framework that internalizes turn control as explicit finite-state transitions, unifying streaming semantic VAD and utterance-level rejection, and introduces a first-order state transition mechanism that enforces the dependency on only the previous state during t...
Zhi-Wei Lin, Tian-Jiao Du, Qiao-Chu Huang et al.· 2 citations
Recent advances in large language models (LLMs) and multimodal LLMs (MLLMs) have created new opportunities for wearable speech interfaces, with smart glasses providing an egocentric platform for continuous audio sensing and assistance. However, speech recognition and understanding in this setting remain challenging bec...
Dehui Gao, Zhixian Zhao, Zhennan Lin et al.· 1 citation
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