Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

In this paper, we propose a method that can identify challenging music samples for beat
tracking without ground truth. Our method, motivated by the machine learning method …

In this paper we present a new beat tracking algorithm which extends an existing state-of-the-
art system with a multi-model approach to represent different music styles. The system uses …

Large online music databases under Creative Commons licenses are rarely recorded by
well-known artists, therefore conventional metadata-based search is insufficient in their …

This book provides a comprehensive overview of music data analysis, from introductory
material to advanced concepts. It covers various applications including transcription and …

A server system 500 is provided for receiving video clips having an associated
audio/musical track for processing at the server system. The system comprises a beat …

While most schemes for automatic cover song identification have focused on note-based
features such as HPCP and chord profiles, a few recent papers surprisingly showed that …

In this paper, we present a novel state-of-the-art system for automatic downbeat tracking
from music signals. The audio signal is first segmented in frames which are synchronized at …

Segmenting continuous sensory input into coherent segments and subsegments is an
important part of perception. Music is no exception. By shaping the acoustic properties of …

A recent trend in the field of beat tracking for musical audio signals has been to explore
techniques for measuring the level of agreement and disagreement between a committee of …