In the realm of music technology, automatic music transcription (AMT) stands as a critical yet challenging task. The goal of AMT is to convert audio recordings into symbolic musical representations, a process that has traditionally relied on deep neu
In an era where artificial intelligence has democratized content creation, the proliferation of AI-generated multimedia has brought both opportunities and challenges. While AI has enriched education, communication, and creative expression, it has als
In the realm of artificial intelligence, recognizing speaker intent in long audio dialogues has always been a complex challenge. The intricate interdependencies between speaker utterances and the scarcity of annotated data have made this task particu
In the rapidly evolving landscape of artificial intelligence, fairness and equity remain paramount, particularly in applications as sensitive as mental healthcare. A recent study introduces FairM2S, a groundbreaking fairness-aware meta-learning frame
In the rapidly evolving landscape of machine learning, multimodal learning has emerged as a groundbreaking approach, harnessing the power of diverse data streams such as text, vision, and audio to enhance contextual understanding and decision-making.
In the realm of music technology, the estimation of musical tempo has long been a critical aspect of understanding and appreciating musical creativity. Tempo, or the speed at which a piece of music is played, is a fundamental element that can convey
In the ever-evolving landscape of music technology, a new open-source software suite is making waves by harnessing the power of Artificial Intelligence (AI) and Machine Learning (ML) to revolutionize music generation, sound design, and virtual instru
In the rapidly evolving landscape of artificial intelligence, the ability to perceive and understand the world through sound is a critical milestone. Researchers have recently made a significant stride in this direction with the introduction of SALMO
The rapid advancement of artificial intelligence has ushered in a new era of music composition, where machine-generated pieces are becoming increasingly prevalent. This surge in AI-created music has, however, sparked a wave of copyright disputes, hig
In the realm of audio classification, the quest for efficient neural network training on small datasets is a significant challenge. A recent study by Jordi Pons, Joan Serrà, and Xavier Serra from the Music Technology Group at Universitat Pompeu Fabra
