Acoustic signal model learning device, acoustic signal analyzer, method, and program

摘要

It is possible to stably learn, in a short time, a model that can output embedded vectors for calculating a set of time frequency points at which the same sound source is dominant. Parameters of the neural network are learned based on a spectrogram of a sound source signal formed by a plurality of sound sources such that embedded vectors for time frequency points at which the same sound source is dominant are similar to embedded vectors for each of time frequency points output by a neural network, which is a CNN.