Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …

Given the recent surge in developments of deep learning, this paper provides a review of the
state-of-the-art deep learning techniques for audio signal processing. Speech, music, and …

This study reviews the use of pitch histograms in music information retrieval studies for
western and non-western music. The problems in applying the pitch-class histogram-based …

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 …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

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 …

We present a method to extract a description of the tonal aspects of music from polyphonic
audio signals. We define this tonal description using different levels of abstraction …

This paper presents an approach to the problem of identifying musical chords from audio
recordings. In our approach, a tuning algorithm is applied to a 36-bin chromagram to …

In this thesis we address the subject of automatic extraction of harmony information from
audio recordings. We focus on chord symbol recognition and methods for evaluating …

When dealing with signal processing and deep learning for classification, the choice of
inputting whether the raw signal or transforming it into a time-frequency representation (TFR) …