Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …

We present an end-to-end system for musical key estimation, based on a convolutional
neural network. The proposed system not only out-performs existing key estimation methods …

Current music emotion recognition (MER) systems rely on emotion data averaged across
listeners and over time to infer the emotion expressed by a musical piece, often neglecting …

ABSTRACT MIDI files abound and provide a bounty of information for music informatics. We
enumerate the types of information available in MIDI files and describe the steps necessary …

We report lessons from iteratively develo** a music recognition system to enable a wide
range of musicians to embed musical codes into their typical performance practice. The …

Automatic extraction of features from harmonic information of music audio is considered in
this paper. Automatically obtaining of relevant information is necessary not just for analysis …

This paper proposes an automatic chord estimation (ACE) system with a two-layer
architecture. The first layer performs chord smoothing with" GMM+ HMM" approach. Then …

We present muzicodes, an approach to incorporating machine-readable'codes' into music
that allows the performer and/or composer to flexibly define what constitutes a code, and to …

This paper presents an argument for the necessity of a large vocabulary in automatic chord
recognition systems, on the grounds of the requirements of machine musicianship. It …

In this thesis, I consider the automatic extraction of harmonic information from musical audio.
Obtaining such information automatically is relevant not only for theoretical analyses, but …