Generating full-length, high-quality songs that maintain coherence across both text and music modalities is a formidable challenge. Existing non-autoregressive (NAR) frameworks, while capable of producing high-quality songs, often struggle with align
In the ever-evolving landscape of music technology, a new dataset named Emo100DB is making waves, offering a unique blend of musical improvisation and emotional data. Developed by researchers Daeun Hwang and Saebyul Park, this dataset is a treasure t
In the ever-evolving landscape of human-computer interaction (HCI), gesture recognition has emerged as a pivotal technology, enabling users to engage with digital systems seamlessly and intuitively. A groundbreaking study led by Barathi Subramanian,
In the ever-evolving world of audio technology, researchers are continually pushing the boundaries of what’s possible, and a recent study out of Descript, Inc. is no exception. Daniel Jimon, Mircea Vaida, and Adriana Stan have developed a proof-of-co
In the rapidly evolving world of music technology, a groundbreaking development is bridging the gap between human creativity and artificial intelligence. Researchers Louis Bradshaw, Alexander Spangher, Stella Biderman, and Simon Colton have introduce
In the ever-evolving landscape of music theory and computational musicology, a groundbreaking study has emerged that promises to reshape our understanding of classical compositions. Researchers A. V. Bomediano, R. J. Conanan, L. D. Santuyo, and A. Co
In the ever-evolving world of audio signal processing, researchers are constantly seeking innovative ways to extract and analyze features from speech signals. A recent study led by Rinku Sebastian, Simon O’Keefe, and Martin Trefzer introduces a novel
In the realm of audio signal processing, extracting meaningful features from speech is a critical task, particularly for applications like speaker and speech recognition. Traditionally, Mel Frequency Cepstral Coefficients (MFCCs) have been the go-to
In the realm of speech recognition and audio processing, the quality of far-field speech datasets is paramount. These datasets are essential for tasks like automatic speech recognition (ASR), dereverberation, speech enhancement, and source separation
In the realm of music technology, a groundbreaking development has emerged that could revolutionize the way we interact with Vietnamese music. Researchers Quoc Anh Nguyen, Bernard Cheng, and Kelvin Soh have introduced VietLyrics, the first large-scal
