Results 191 to 200 of about 22,172 (210)

Efficient Two-Layer Model Towards Cover Song Identification

Lecture Notes in Computer Science, 2018
So far, few cover song identification systems aim at practical application. On one hand, existing sequence alignment methods achieve a high precision at the expense of high time cost. On the other hand, for large-scale identification, researchers attempt to exploit fixed low-dimensional features to reduce time cost.
Xiaoou Chen, Deshun Yang
exaly   +2 more sources

Cochlear pitch class profile for cover song identification

Applied Acoustics, 2015
Abstract Pitch class profile (PCP), which can represent the harmonic progression of a piece of music very well, is one of the widely used audio features for cover version identification. In this letter, we describe a novel procedure that enhances PCP by substantially boosting the degree of instrumental accompaniment invariance without degrading the ...
J Stephen Downie, Ning Chen
exaly   +2 more sources

Kara1k: A Karaoke Dataset for Cover Song Identification and Singing Voice Analysis

2017 IEEE International Symposium on Multimedia (ISM), 2017
We introduce Kara1k, a new musical dataset composed of 2,000 analyzed songs thanks to a partnership with a karaoke company. The dataset is divided into 1,000 cover songs provided by Recisio Karafun application1, and the corresponding 1,000 songs by the original artists.
Ladislav Marsik, Jan Martinović, Katerina SLANINOVÁ   +2 more
exaly   +2 more sources

Enhanced Feature Summarizing for Effective Cover Song Identification

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
Self-similarity analysis-based feature summarizing technique (SuCo) was proposed recently to improve the time and memory efficiency of Cover Song Identification (CSI). In this paper, both the feature summarizing and the cross-similarity calculating strategies of the SuCo model are modified as follows to enhance its identification accuracy.
Jingyi Hu, Ning Chen 0007
openaire   +1 more source

FALCON

Proceedings of the 18th ACM international conference on Multimedia, 2010
We present FALCON, an open-source engine for content-based cover song identification written in Java. The popular Lucene search engine library is used as the core of the software, proving that textual methods in information retrieval can be successfully adapted to multimedia tasks.
DI BUCCIO, EMANUELE, MONTECCHIO, NICOLA, ORIO, NICOLA   +2 more
openaire   +2 more sources

Entropy per chroma for Cover song identification

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2016
A Cover song is a rendition of a previously recorded piece of music, cover song identification is about automatically recognizing a song as perceptually the same as another performance of the same song even thought it was played in a different place, perhaps by other musicians each with their own musical instruments.
Antonio Camarena-Ibarrola, Karina Figueroa, Hector Tejeda-Villela   +2 more
openaire   +1 more source

Cover song identification by sequence alignment algorithms

SPIE Proceedings, 2011
Content-based music analysis has drawn much attention due to the rapidly growing digital music market. This paper describes a method that can be used to effectively identify cover songs. A cover song is a song that preserves only the crucial melody of its reference song but different in some other acoustic properties. Hence, the beat/chroma-synchronous
Chih-Li Wang, Qian Zhong, Szu-Ying Wang, Vwani Roychowdhury   +3 more
openaire   +1 more source

Content-Based Cover Song Identification in Music Digital Libraries

2010
In this paper we report the status of our research on the problem of content-based cover song identification in music digital libraries. An approach which exploits both harmonic and rhythmic facets of music is presented and evaluated against a test collection. Directions for future work are proposed, and particular attention is given to the scalability
MIOTTO, RICCARDO, MONTECCHIO, NICOLA, ORIO, NICOLA   +2 more
openaire   +2 more sources

Deep learning methods for cover song identification

2023
Cover song identification (CSI) is the task of determining whether a given recording of a song is a new performance other than the original version. Automatically detecting cover versions has plenty of applications in the music industry as well as copyright law. In this Thesis we present a methodology for CSI based on Convolutional Neural Networks (CNN)
openaire   +3 more sources

Dynamic chroma feature vectors with applications to cover song identification

2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008
A new chroma-based dynamic feature vector is proposed inspired by psychophysical observations that the human auditory system detects reltative pitch changes rather than absolute pitch values. The proposed chroma-based dynamic feature vector describes the relative pitch change intervals.
Samuel Kim, Shrikanth S. Narayanan
openaire   +1 more source