In this overview article, we review research on the task of Automatic Chord Estimation (ACE).
The major contributions from the last 14 years of research are summarized, with detailed …

Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

We present a new technique for audio signal comparison based on tonal subsequence
alignment and its application to detect cover versions (ie, different performances of the same …

When considering the problem of audio-to-audio matching, determining musical similarity
using low-level features such as Fourier transforms and MFCCs is an extremely difficult task …

There is growing evidence that nonlinear time series analysis techniques can be used to
successfully characterize, classify, or process signals derived from real-world dynamics …

We present a corpus of harmonic analyses and melodic transcriptions of rock songs. After
explaining the creation and notation of the corpus, we present results of some explorations …

In this paper, a feature vector called the Enhanced Pitch Class Profile (EPCP) is introduced
for automatic chord recognition from the raw audio. To this end, the Harmonic Product …

We propose an automatic method for measuring content-based music similarity, enhancing
the current generation of music search engines and recommended systems. Many previous …

While global key and chord estimation for both popular and classical music recordings have
received a lot of attention, little research has been devoted to estimating the local key for …