Hiromasa Fujihara

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

We propose the task of detecting instrumental solos in polyphonic music recordings, and the usage of a set of four audio features for vocal and instrumental activity detection. 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

Aligning lyrics to audio has a wide range of applications such as the automatic generation of karaoke scores, song-browsing by lyrics, and the generation of audio thumbnails. Expand

This paper describes a public web service for active music listening, Songle, that enriches music listening experiences by using music-understanding technologies based on signal processing. Expand

This paper describes a system that can automatically synchronize polyphonic musical audio signals with their corresponding lyrics. Expand

We propose a novel training method to estimate a spectral envelope of a singing voice that makes it possible to train the models from a polyphonic music without segregating the singing voice. Expand

Three techniques are described that improve a previously developed system for automatically synchronizing lyrics with musical audio signals. Expand

This paper describes a system that can automatically synchronize between polyphonic musical audio signals and corresponding lyrics. Expand