In this paper, we adapt a recently proposed U-net deep neural network architecture from
melody to bass transcription. We investigate pitch shifting and random equalization as data …

The main melody extraction of polyphonic music is a challenging task for music information
retrieval. Traditional convolutional neural networks, recurrent neural networks have …

The main task of the melody extraction is to extract the fundamental frequency contour of the
vocal music in the polyphonic music in which the vocal music and the background music are …

Melody extraction plays an important role in the field of Music Information Retrieval (MIR). It
has emerged as one of the active research problems in the MIR applications. Nowadays, the …

In this paper, we adapt a recently proposed U-net deep neural network architecture from
melody to bass transcription. We investigate pitch shifting and random equalization as data …

Se presenta un algoritmo de reconocimiento de se~ nales peatonales accesibles (APS, por
sus siglas en ingl es), un tipo de sonido emitido por los sem aforos peatonales para habilitar …