In the realm of digital animation and virtual avatars, creating a realistic and animatable portrait from a single static image has been a persistent challenge. Existing methods often fall short in capturing the nuances of facial expressions, the asso
In a groundbreaking study, researchers Filippo Cenacchi, Deborah Richards, and Longbing Cao have developed a unified framework for diagnosing depression and post-traumatic stress disorder (PTSD) that transcends traditional binary assessments. Their t
In a groundbreaking development aimed at enhancing accessibility for visually impaired individuals, researchers Prateek Mehta and Anasuya Patil have introduced an innovative optical character recognition (OCR)-based speech synthesis system. This syst
Generating full-length, high-quality songs that maintain coherence across both text and music modalities is a formidable challenge. Existing non-autoregressive (NAR) frameworks, while capable of producing high-quality songs, often struggle with align
In the ever-evolving landscape of music technology, a new dataset named Emo100DB is making waves, offering a unique blend of musical improvisation and emotional data. Developed by researchers Daeun Hwang and Saebyul Park, this dataset is a treasure t
In the ever-evolving landscape of human-computer interaction (HCI), gesture recognition has emerged as a pivotal technology, enabling users to engage with digital systems seamlessly and intuitively. A groundbreaking study led by Barathi Subramanian,
In the rapidly evolving world of music technology, a groundbreaking development is bridging the gap between human creativity and artificial intelligence. Researchers Louis Bradshaw, Alexander Spangher, Stella Biderman, and Simon Colton have introduce
In the ever-evolving landscape of music theory and computational musicology, a groundbreaking study has emerged that promises to reshape our understanding of classical compositions. Researchers A. V. Bomediano, R. J. Conanan, L. D. Santuyo, and A. Co
In the ever-evolving landscape of audio-visual technology, researchers Zhaoxi Mu and Xinyu Yang have introduced a novel approach to target speech extraction that promises to revolutionize the way we separate and enhance speech from complex audio-visu
In the ever-evolving world of music technology, researchers have been making strides in the realm of artificial intelligence-driven music generation. However, creating realistic and expressive sounds for certain instruments, particularly the electric
