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20232025
most citedSALMONN: Towards Generic Hearing Abilities for Large Language Models

20 citations · 32 across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.CL2023

Speech-based Slot Filling using Large Language Models

Guangzhi Sun, Shutong Feng, Dongcheng Jiang +3

Recently, advancements in large language models (LLMs) have shown an unprecedented ability across various language tasks. This paper investigates the potential application of LLMs…

eess.AS2023★ 5 cited

Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models

Guangzhi Sun, Wenyi Yu, Changli Tang +6

Audio-visual large language models (LLM) have drawn significant attention, yet the fine-grained combination of both input streams is rather under-explored, which is challenging but…

eess.AS2023★ 2 cited

Conditional Diffusion Model for Target Speaker Extraction

Theodor Nguyen, Guangzhi Sun, Xianrui Zheng +2

We propose DiffSpEx, a generative target speaker extraction method based on score-based generative modelling through stochastic differential equations. DiffSpEx deploys a continuou…

cs.SD2023★ 20 cited

SALMONN: Towards Generic Hearing Abilities for Large Language Models

Changli Tang, Wenyi Yu, Guangzhi Sun +6

Hearing is arguably an essential ability of artificial intelligence (AI) agents in the physical world, which refers to the perception and understanding of general auditory informat…

eess.AS2023

Connecting Speech Encoder and Large Language Model for ASR

Wenyi Yu, Changli Tang, Guangzhi Sun +6

The impressive capability and versatility of large language models (LLMs) have aroused increasing attention in automatic speech recognition (ASR), with several pioneering studies a…

cs.SD2023

Enhancing Quantised End-to-End ASR Models via Personalisation

Qiuming Zhao, Guangzhi Sun, Chao Zhang +2

Recent end-to-end automatic speech recognition (ASR) models have become increasingly larger, making them particularly challenging to be deployed on resource-constrained devices. Mo…

cs.CL2023★ 3 cited

Affect Recognition in Conversations Using Large Language Models

Shutong Feng, Guangzhi Sun, Nurul Lubis +3

Affect recognition, encompassing emotions, moods, and feelings, plays a pivotal role in human communication. In the realm of conversational artificial intelligence, the ability to…

cs.SD2023

Cross-Utterance Conditioned VAE for Speech Generation

Yang Li, Cheng Yu, Guangzhi Sun +8

Speech synthesis systems powered by neural networks hold promise for multimedia production, but frequently face issues with producing expressive speech and seamless editing. In res…