Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

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 …

Recent language models have shown impressive multilingual performance, even when not
explicitly trained for it. Despite this, there are concerns about the quality of their outputs …

In human–computer interaction systems, speech emotion recognition (SER) plays a crucial
role because it enables computers to understand and react to users' emotions. In the past …

Abstract With Artificial Intelligence (AI) increasingly permeating various aspects of society,
including healthcare, the adoption of the Transformers neural network architecture is rapidly …

With Artificial Intelligence (AI) increasingly permeating various aspects of society, including
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …

Despite recent advancements in speech emotion recognition (SER) models, state-of-the-art
deep learning (DL) approaches face the challenge of the limited availability of annotated …

As a creative method for virtual human individuals based on multiple fusion technologies
such as artificial intelligence, computer graphics, and speech synthesis, virtual human …

Speech recognition is a captivating process that revolutionizes human-computer
interactions, allowing us to interact and control machines through spoken commands. The …

This review highlights the efficacy of combining federated learning (FL) and transfer learning
(TL) for cancer detection via image analysis. By integrating these techniques, research has …