T. Kitahara

This paper describes a method for automatic singer identification from polyphonic musical audio signals including sounds of various instruments. Expand

This paper describes a method of modeling the characteristics of a singing voice from polyphonic musical audio signals including sounds of various musical instruments. Expand

We provide a new solution to the problem of feature variations caused by the overlapping of sounds in instrument identification in polyphonic music. Expand

This paper describes a musical instrument identification method that takes into consideration the pitch dependency of timbres of musical instruments. Expand

This paper presents a new technique for recognizing musical instruments in polyphonic music that calculates the temporal trajectory of instrument existence probabilities for every possible F0. Expand

The pitch dependency of timbres has not been fully exploited in musical instrument identification. Expand

This paper presents the environmental recognition of two sound sources fired simultaneously using matching pursuit (MP) with the Gabor wavelet, which extracts salient audio features from a signal. Expand

We propose new audio features that can be extracted from bass lines and apply them to automatic genre classification and music collection visualization. Expand

We design new audio features to be extracted from bass lines to improve the similarity measure and classification accuracy. Expand

We present a comparative study evaluating and comparing the performance of a set of canonical approaches to the task of automatic melody harmonization, including a template matching based model, a hidden Markov based model and two deep learning based models. Expand