Most work on automatic transcription produces “piano roll” data with no musical
interpretation of the rhythm or pitches. We present a polyphonic transcription method that …

We present an automatic piano transcription system that converts polyphonic audio
recordings into musical scores. This has been a long-standing problem of music information …

This paper describes neural singing transcription that estimates a sequence of musical
notes directly from the audio signal of singing voice in an end-to-end manner without time …

In a recent conference paper, we have reported a rhythm transcription method based on a
merged-output hidden Markov model (HMM) that explicitly describes the multiple-voice …

This paper describes an automatic singing transcription (AST) method that estimates a
human-readable musical score of a sung melody from an input music signal. Because of the …

This article describes automatic singing transcription (AST) that estimates a human-readable
musical score of a sung melody represented with quantized pitches and durations from a …

We study a method for converting the music style of a given melody to a target style (eg from
classical music style to pop music style) based on unsupervised statistical learning …

This paper describes an end-to-end audio-to-symbolic singing transcription method for
mixtures of vocal and accompaniment parts. Given audio signals with non-aligned melody …

This article describes a melody harmonization method that generates a sequence of chords
(symbols and onset positions) for a given melody (a sequence of musical notes). A typical …

This paper presents a statistical method for use in music transcription that can estimate
score times of note onsets and offsets from polyphonic MIDI performance signals. Because …