In the rapidly evolving landscape of artificial intelligence, generative audio models have emerged as a groundbreaking technology, capable of creating human-like music and speech. These models, which learn patterns from vast amounts of data to genera
In a significant stride towards enhancing the fidelity of digital audio emulations, researchers Ryota Sato and Julius O. Smith III have developed a novel approach to reduce aliasing artifacts in neural amplifier models. Their work, titled “Aliasing R
In a groundbreaking stride for both technology and developmental science, researchers have begun to harness the power of machine learning and speech technology to analyze naturalistic recordings of young children, offering unprecedented insights into
In a significant leap forward for digital music creation, researchers have developed a novel approach to singing voice synthesis (SVS) that promises to revolutionize how we generate high-quality, expressive singing voices. This breakthrough, dubbed D
In a significant leap forward for real-time facial animation, researchers have developed a method to create high-quality, low-resource models that can run directly on devices, opening up new possibilities for game development and digital character cr
In a groundbreaking development, researchers have harnessed the power of large language models (LLMs) to bridge the gap between natural language and audio effects parameters, potentially revolutionizing music production for non-experts. The study, ti
In a groundbreaking development, researchers have successfully navigated the delicate balance between protecting speaker identity and preserving crucial information for suicide risk detection in speech-based systems. This advancement is particularly
In a significant leap forward for AI-driven music creation, researchers have developed a novel framework that promises to infuse generated music with structural cohesion and interpretability, addressing key limitations of current models. This breakth
In a groundbreaking stride toward advanced audio technology, researchers have unveiled the Unified Audio Language Model (UALM), a pioneering model that seamlessly integrates audio understanding, text-to-audio generation, and multimodal reasoning into
In a significant stride towards inclusivity in music technology, a recent systematic literature review has shed light on the current landscape of music tech designed for blind and low vision (BLV) individuals. The study, conducted by Shumeng Zhang, R
