Results 81 to 90 of about 5,794,161 (178)
User-guided one-shot deep model adaptation for music source separation
, 2021 International audienceMusic source separation is the task of isolating individual instruments which are mixed in a musical piece. This task is particularly challenging, and even state-of-the-art models can hardly generalize to unseen test data ...
Cantisani, Giorgia +3 more
core +1 more source
A New Method of Melody Extraction for Polyphonic Music based on Adaptive Harmonic Superposition
四川大学学报. 自然科学版, 2020 With the rapid increase in thevolume of music, digital processing of music has become an inevitable trend. Melody reflects the main ideas of music, melody extraction has wide application in computer music production, music retrieval and classification ...
HE TianTian, HE PeiYu, CHEN JieMei
doaj
, 2020 Musical source separation is a complex topic that has been extensively explored in the signal processing community and has benefited greatly from recent machine learning research. Many deep learning models with impressive source separation quality have been released in the last couple of years, all of them dealing with studio recorded music split into ...
openaire +1 more source
Journal of Marine Science and EngineeringThis study evaluates adaptive spatial matrix filtering (AMF) combined with MUSIC for underwater acoustic direction-of-arrival estimation under strong out-of-sector interference and extends the method to coherent sources by incorporating forward spatial ...
Peiming Li +5 more
doaj +1 more source
Music source separation using stacked hourglass networks
, 2018 In this paper, we propose a simple yet effective method for multiple music source separation using convolutional neural networks. Stacked hourglass network, which was originally designed for human pose estimation in natural images, is applied to a music ...
Kim, Taehoon +3 more
core
, 2021 This paper describes a novel neuro-steered music source separation framework and conducts an extensive evaluation of the proposed system on MAD-EEG, a dataset composed of EEG recordings of subjects attending to a particular in duo and trio music excerpts.
Cantisani, Giorgia +2 more
core +2 more sources
Teaching Popular Music Analysis with Source Separation
Music source separation is a technology that converts a recorded song into multiple files that contain different components of the original track. Typically, source separation tools split a recording into four discrete components: vocals, percussion ...
Michèle Duguay
core +1 more source
The Sound Demixing Challenge 2023 – Music Demixing Track
Transactions of the International Society for Music Information RetrievalThis paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX’23). We provide a summary of the challenge setup and introduce the task of robust music source separation (MSS), i.e., training MSS models in the presence of errors
Giorgio Fabbro +26 more
doaj +1 more source
Source Separation of Piano Music Recordings [PDF]
In the field of Music Information Retrieval (MIR), the decomposition of a music recording into its constituent sound sources, referred to as source separation, is relevant to a broad spectrum of tasks and applications, such as supporting music analysis ...
Özer, Yigitcan
core +1 more source
A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation
IEEE Open Journal of Signal ProcessingCinematic audio source separation is a relatively new subtask of audio source separation, with the aim of extracting the dialogue, music, and effects stems from their mixture.
Karn N. Watcharasupat +8 more
doaj +1 more source