MASS: distance profile of a query over a time series

S Zhong, A Mueen - Data Mining and Knowledge Discovery, 2024 - Springer
Given a long time series, the distance profile of a query time series computes distances
between the query and every possible subsequence of a long time series. MASS (Mueen's …

Time series alignment with global invariances

T Vayer, R Tavenard, L Chapel, N Courty… - ar** these
cover songs to their original song is defined as” Cover Song Identification.” In this paper, we …

Music similarity models applied to cover song identification and classification

RPP Bodo - 2021 - teses.usp.br
The spread of digital music allowed the appearance of datasets with millions of music files.
The processing of this huge number of audio files is carried out with techniques of Music …

A framework for music similarity and cover song identification

RPP Bodo, E Benetos, M Queiroz - 2021 - qmro.qmul.ac.uk
This paper presents a framework for music information retrieval tasks which relate to music
similarity. The framework is based on a pipeline consisting of audio feature extraction …

An Artificial Intelligence-Based Approach Towards Segregation of Folk Songs

H Mukherjee, A Dhar, SM Obaidullah… - Advances in Speech …, 2021 - Springer
Music genre/type classification has been an active area of interest for researchers. There
has been development of disparate systems for Western music, but a scarcity of such …

Deep Learning for Cover Song Apperception

DK Vali, NU Bhajantri - Progress in Advanced Computing and Intelligent …, 2021 - Springer
In this work, we proposed a cover song recognition system using deep learning. From the
literature, understand that most of the works extract the discriminate feature that classifies …

[PDF][PDF] MIREX 2017: COVER SONG IDENTIFICATION WITH METRIC LEARNING USING DISTANCE AS A FEATURE

H Heo, HJ Kim, WS Kim, K Lee - music-ir.org
The purpose of this MIREX 2017 submission is to test a recently proposed cover song
identification algorithm using metric learning [2]. Most cover song identification algorithms …