Full-duplex speech models are moving voice interaction beyond conventional turn-taking, yet natural conversation is shaped not only by when an agent speaks, but also by how it behaves as a conversational character. We present CharDuplex, a character-driven full-duplex speech model that combines real-time spoken interac...
Donghang Wu, Yi-Si Liu, Chen Chen et al.· 0 citations
JELAR, a Joint-Embedding Predictive Architecture (JEPA)-based latent reasoning framework that conditions latent reasoning supervision on acoustic representations learned from raw waveforms, demonstrates the effectiveness of JEPA-conditioned latent reasoning as an alternative to explicit textual CoT supervision.
Donghang Wu, Haoyang Zhang, Yizhou Peng et al.· 0 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
AuK, an open-source foundational model that unifies speech generation and editing through a common interface of natural-language instructions and audio context, is introduced and leading performance on zero-shot and instruction-controlled speech generation and general instruction-guided editing is demonstrated.
Zi-Yang Ma, Zhi-Kang Niu, Wen-Ming Tu et al.· 3 citations· ⚡1
DSF-Net is a novel neural network that introduces a dual-strategy fusion approach for the AVSELD task, designed for robust and computationally efficient multi-modal comprehension.
