In the ever-evolving landscape of music technology, a new application named SoundSignature is making waves by offering users a unique, personalized journey into the acoustic properties of their favorite songs. This innovative app integrates a custom
In the ever-evolving landscape of audio content analysis and music information retrieval, researchers and engineers are constantly seeking robust, reliable, and accessible tools to implement and learn about the latest algorithms. Alexander Lerch, a p
In the ever-evolving landscape of music technology, the field of Music Information Retrieval (MIR) has seen remarkable advancements over the past quarter-century. A recent paper, authored by Geoffroy Peeters, Zafar Rafii, Magdalena Fuentes, Zhiyao Du
In the rapidly evolving world of audio technology, the quest for high-quality, low-bitrate audio codecs has been a persistent challenge. Traditional audio codecs have long been the backbone of digital audio transmission, but they often struggle to ma
In the ever-evolving world of music technology, researchers are constantly pushing boundaries to create more immersive and interactive experiences. A recent breakthrough comes from a team of researchers who have developed PianoVAM, a comprehensive da
In the ever-evolving landscape of music information retrieval (MIR), a new dataset has emerged that promises to bridge the gap between different levels of musical granularity. Developed by researchers Jonas Geiger, Marta Moscati, Shah Nawaz, and Mark
In a groundbreaking development, researchers have harnessed the power of large language models (LLMs) to enhance automatic chord recognition, a critical task in music information retrieval (MIR). This innovative approach leverages the reasoning capab
In a groundbreaking advancement for music technology, researchers have developed a novel model capable of transcribing not just the notes of a violin performance, but also the playing techniques used to produce them. This innovation, known as VioPTT
In a groundbreaking development for music technology, researchers have unveiled a unified framework that bridges two fundamental yet inverse tasks in music information retrieval: expressive performance rendering (EPR) and automatic piano transcriptio
In a significant stride towards unraveling the enigmatic inner workings of audio pretrained models, researchers have introduced a novel approach using Sparse Autoencoders (SAEs) to dissect and understand the representations learned by these models. T
