Automatic chord estimation from audio: A review of the state of the art
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 …
The major contributions from the last 14 years of research are summarized, with detailed …
[图书][B] An introduction to audio content analysis: Music Information Retrieval tasks and applications
A Lerch - 2022 - books.google.com
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 …
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …
Xiaoice band: A melody and arrangement generation framework for pop music
With the development of knowledge of music composition and the recent increase in
demand, an increasing number of companies and research institutes have begun to study …
demand, an increasing number of companies and research institutes have begun to study …
Local key estimation in music recordings: A case study across songs, versions, and annotators
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 …
received a lot of attention, little research has been devoted to estimating the local key for …
An end-to-end machine learning system for harmonic analysis of music
We present a new system for the harmonic analysis of popular musical audio. It is focused
on chord estimation, although the proposed system additionally estimates the key sequence …
on chord estimation, although the proposed system additionally estimates the key sequence …
On the relative importance of individual components of chord recognition systems
Most chord recognition systems share a common architecture comprising two main stages:
feature extraction and pattern matching, and two optional sub stages: pre-filtering and post …
feature extraction and pattern matching, and two optional sub stages: pre-filtering and post …
[PDF][PDF] libfmp: A Python package for fundamentals of music processing
The revolution in music distribution, storage, and consumption has fueled tremendous
interest in developing techniques and tools for organizing, structuring, retrieving, navigating …
interest in developing techniques and tools for organizing, structuring, retrieving, navigating …
Pop music generation: From melody to multi-style arrangement
Music plays an important role in our daily life. With the development of deep learning and
modern generation techniques, researchers have done plenty of works on automatic music …
modern generation techniques, researchers have done plenty of works on automatic music …
[PDF][PDF] Learning Pitch-Class Representations from Score-Audio Pairs of Classical Music.
Chroma or pitch-class representations of audio recordings are an essential tool in music
information retrieval. Traditional chroma features relying on signal processing are often …
information retrieval. Traditional chroma features relying on signal processing are often …
A robust audio fingerprinting using a new hashing method
HS Son, SW Byun, SP Lee - IEEE Access, 2020 - ieeexplore.ieee.org
To enhance the tracking performance of illegal audio copies, we introduce a robust audio
fingerprinting method against various attacks in this paper. Most audio fingerprints consist of …
fingerprinting method against various attacks in this paper. Most audio fingerprints consist of …