Thrilled to announce that our paper entitled "Deep Learning Based Source Separation Applied to Choir Ensembles" has been accepted to the 21st International Society for Music Information Retrieval Conference !
music information retrieval
In this second part, we explore network conditioning for source separation tasks, using the sources' fundamental frequency as control input.
Musical source separation for SATB choral recordings, performed in both the waveform and spectral domain.
An iPad app exploring different spectral synthesis and processing techniques, such as convolution, morphing and cross synthesis from a practical perspective.
Fun and creative music making app; with csJam, you can improvise, perform, sequence, and compose with a variety of synthetic and sampled instruments.
iPad app exploiting musical concepts such as question-answer, motifs, and transposition to generate music algorithmically in interaction with its user.
System designed in PureData, which assimilates and learns from musical performances using Markov models.