Sound

The increasing demand for AI-generated content following the development of innovative generative Artificial Intelligence models like ChatGPT, GEMINI, and BARD has amplified the need for high-quality text-to-audio, text-to-image, and text-to-video models. Recently, supervised fine-tuning-based direct preference optimisation (DPO) has become a prevalent alternative to traditional reinforcement learning methods in lining up Large Language Model (LLM)…

As demand for AI-generated content continues to increase, particularly in the multimedia realm, the need for high-quality, quick production models for text-to-audio, text-to-image, and text-to-video conversions has never been greater. An emphasis is placed on enhancing the realistic nature of these models in regard to their input prompts. A novel approach to adjust Large Language Model…

In the field of audio processing, the ability to separate overlapping speech signals amidst noise is a challenging task. Previous approaches, such as Convolutional Neural Networks (CNNs) and Transformer models, while groundbreaking, have faced limitations when processing long-sequence audio. CNNs, for instance, are constrained by their local receptive capabilities while Transformers, though skillful at modeling…