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eess.AS2025★ 1 cited
Solla: Towards a Speech-Oriented LLM That Hears Acoustic Context
Junyi Ao, Dekun Chen, Xiaohai Tian +6
Large Language Models (LLMs) have recently shown remarkable ability to process not only text but also multimodal inputs such as speech and audio. However, most existing models prim…
eess.AS2024
SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech
Jingru Lin, Meng Ge, Junyi Ao +2
It was shown that pre-trained models with self-supervised learning (SSL) techniques are effective in various downstream speech tasks. However, most such models are trained on singl…
eess.AS2023
Self-Supervised Acoustic Word Embedding Learning via Correspondence Transformer Encoder
Jingru Lin, Xianghu Yue, Junyi Ao +1
Acoustic word embeddings (AWEs) aims to map a variable-length speech segment into a fixed-dimensional representation. High-quality AWEs should be invariant to variations, such as d…