Satoru Fukayama

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Automatic melody harmonisation aims to create a matching chordal accompaniment to a given monophonic melody. Several methods have been proposed to this aim, which are generally based on musicological expertise or on unsupervised probabilistic modelling. Among the latter category of methods, most systems use the generative hidden Markov model (HMM), in which(More)
Automatic composition techniques are important in sense of upgrading musical applications for amateur musicians such as composition support systems. In this paper, we present an algorithm that can automatically generate songs from Japanese lyrics. The algorithm is designed by considering composition as an optimal-solution search problem under constraints(More)
We present an algorithm for song composition using prosody of Japanese lyrics. Since Japanese is a “pitch accent” language, listener’s apprehension is strongly affected by the pitch motions of the speaker. For example, the meaning of Japanese word “ha-shi” changes with the pitch. It means “bridge” with an upward pitch motion, and “chopsticks” with the(More)
This paper describes a novel method for estimating the emotions elicited by a piece of music from its acoustic signals. Previous research in this field has centered on finding effective acoustic features and regression methods to relate features to emotions. The state-of-the-art method is based on a multi-stage regression, which aggregates the results from(More)
Recent research has found that there is an overlap in the processing of music and speech in certain aspects. This research focuses on the relationship between the pitch of tones in language and the melody of songs. We present an automatic music composition system based on the prosody rules of Mandarin and we hypothesize that songs generated with our(More)
We present AutoRhythmGuitar, a simple computer-aided composition model which algorithmically composes realistic rhythm guitar tablature. AutoRhythmGuitar takes as input a downbeat-synchronised chord sequence and generates a digital score in both traditional notation and tablature. Our model is data-driven, trained from digital tablatures obtained from the(More)
This paper presents a system named ChordSequenceFactory for automatically generating chord arrangements. A key element of musical composition is the arrangement of chord sequences because good chord arrangements have the potential to enrich the listening experience and create a pleasant feeling of surprise by borrowing elements from different musical styles(More)
We developed an automatic piano performance system called Polyhymnia that is able to generate expressive polyphonic piano performances with music scores so that it can be used as a computer-based tool for an expressive performance. The system automatically renders expressive piano music by means of automatic musical symbol interpretation and statistical(More)
We present AutoLeadGuitar, a system for automatically generating guitar solo tablatures from an input chord and key sequence. Our system generates solos in distinct musical phrases, and is trained using existing digital tablatures sourced from the web. When generating solos AutoLeadGuitar assigns phrase boundaries, rhythms and fretboard positions within a(More)