In a significant stride towards enhancing music emotion analysis, a team of researchers has introduced PoolingVQ, a novel variant of the Vector Quantized Variational Autoencoder (VQVAE) that promises to reduce audio redundancy and improve multi-modal
In a significant leap forward for immersive audio technology, researchers have developed a novel transformer-based architecture that promises to revolutionize the way we experience spatial sound. This breakthrough, dubbed HRTFformer, addresses a long
In a groundbreaking development, researchers have unveiled a novel approach to understanding micro-expressions (MEs), those fleeting facial expressions that betray concealed emotions. Traditionally, the study of MEs has been hampered by a reliance on
In a groundbreaking advancement for multimedia technology, researchers have developed EGSTalker, a real-time audio-driven talking head generation framework that promises to revolutionize the way we create and interact with digital avatars. This innov
In a groundbreaking development for the world of acoustics, researchers have introduced a simple yet powerful tool to estimate the absorption and transmission loss contributions of multilayered blankets used in double panel structures. This innovatio
In a groundbreaking development, researchers have introduced SALSA-V, a novel multimodal model that can generate highly synchronized, high-quality audio from silent video content, opening up new possibilities for audio production and post-production.
In a groundbreaking development, researchers have unveiled Sci-Phi, a large language model designed to revolutionize spatial audio understanding. This innovative model is the first of its kind to provide a comprehensive description of an entire spati
In a groundbreaking development for the audio processing community, researchers have introduced the Extreme Metal Vocals Dataset (EMVD), a comprehensive collection of recordings that delve into the extreme vocal techniques characteristic of heavy met
In a groundbreaking development for audio technology, researchers have introduced MAVE, a novel architecture that promises to revolutionize voice editing and text-to-speech (TTS) synthesis. MAVE, which stands for Mamba with Cross-Attention for Voice
