Multi-modal large language models (MLLMs) have become a cornerstone in the AI landscape, seamlessly integrating text, images, and audio to power a wide array of applications. However, their growing popularity has cast a spotlight on a critical vulner
Emotion recognition in conversations is a complex task, but a new approach called Orthogonal Disentanglement with Projected Feature Alignment (OD-PFA) is making waves in the field. Developed by researchers Xinyi Che, Wenbo Wang, Jian Guan, and Qijun
The digital world is grappling with an escalating threat: audio-video (AV) forgery. It’s no longer just about human-centric deepfakes; the manipulations have become more diverse and complex, extending to natural scenes. However, the tools we’ve been
In the world of audio processing, bandwidth extension has long been a challenging task. It involves reconstructing the high-frequency components of an audio signal from its low-pass version. Traditional methods have seen improvements over time, but t
In the world of speech recognition technology, there’s a glaring inequality that often goes unnoticed. The machine learning models that power our virtual assistants and transcription services tend to excel in English and other well-resourced language
In the world of medical technology, the intersection of audio analysis and artificial intelligence is opening up new possibilities for improving surgical outcomes. A recent study by researchers Dongqi Zhu, Zhuwen Xu, Youyuan Chen, Minghao Jin, Wan Zh
Imagine you’re an audio engineer, meticulously crafting a track, only to have it lose its sparkle and depth when compressed. Frustrating, right? This is the reality many of us face, and it’s why the choice of audio compression codec is more critical
Imagine a world where artificial intelligence can truly understand the emotions conveyed through art, not just through human interpretation or isolated visuals, but through the combined power of sight and sound. This is the bold vision behind the lat
Imagine a world where your music production software learns from your preferences, tailoring its suggestions to your unique style and taste. This isn’t a distant dream but a burgeoning reality, according to a recent systematic analysis of preference-
In the rapidly evolving landscape of speech processing, a groundbreaking development has emerged that promises to revolutionize the way we handle and manipulate audio data. Researchers Wei-Cheng Tseng and David Harwath have introduced Codec2Vec, a no
