Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …

This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …

While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

We present Video-LLaMA a multi-modal framework that empowers Large Language Models
(LLMs) with the capability of understanding both visual and auditory content in the video …

The ability of artificial intelligence (AI) systems to perceive and comprehend audio signals is
crucial for many applications. Although significant progress has been made in this area …

The recent advancements in large language models (LLMs) have revolutionized the field of
natural language processing, progressively broadening their scope to multimodal …

Models like GPT-4o enable real-time interaction with large language models (LLMs) through
speech, significantly enhancing user experience compared to traditional text-based …

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

We present a novel Speech Augmented Language Model (SALM) with multitask and in-
context learning capabilities. SALM comprises a frozen text LLM, a audio encoder, a …

In spoken dialogue, even if two current turns are the same sentence, their responses might
still differ when they are spoken in different styles. The spoken styles, containing …