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Deep feature learning for cover song identification
Multimedia Tools and Applications, 2016The identification of a cover song, which is an alternative version of a previously recorded song, for music retrieval has received increasing attention. Methods for identifying a cover song typically involve comparing the similarity of chroma features between a query song and another song in the data set.
Pao-Chi Chang
exaly +2 more sources
Time complexity evaluation of cover song identification algorithms
Applied Acoustics, 2021Abstract Cover Song Identification (CSI) is a task in Music Information Retrieval (MIR) that attempts to identify other versions of a song containing different structures, tonalities, and tempos, what brings several challenges to this task. Some of frameworks proposed to identify cover songs were evaluated through the Music Information Retrieval ...
Martha Dais Ferreira +1 more
exaly +2 more sources
Fusing similarity functions for cover song identification
Multimedia Tools and Applications, 2017Cover Song Identification (CSI) technique, refers to the process of identifying an alternative version, performance, rendition, or recording of a previously recorded musical composition by measuring and modeling the musical similarity between them quantitatively and objectively.
Ning Chen
exaly +2 more sources
Similarity fusion scheme for cover song identification
Electronics Letters, 2016 To take advantage of the complementarity of different features in representing the common facets shared among cover versions, the similarity network fusion strategy in biological field is adopted to fuse the cochlear pitch class profile (PCP), beat‐synchronous chroma and harmonic PCP feature‐based similarity networks for cover song identification.
Ning Chen
exaly +2 more sources
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
In this paper, we propose a cover song identification algorithm using a convolutional neural network (CNN). We first train the CNN model to classify any non-/cover relationship, by feeding a cross-similarity matrix that is generated from a pair of songs as an input. Our main idea is to use the CNN output–the cover-probabilities of one song to all other
Sungkyun Chang
exaly +2 more sources
In this paper, we propose a cover song identification algorithm using a convolutional neural network (CNN). We first train the CNN model to classify any non-/cover relationship, by feeding a cross-similarity matrix that is generated from a pair of songs as an input. Our main idea is to use the CNN output–the cover-probabilities of one song to all other
Sungkyun Chang
exaly +2 more sources
Enhanced Feature Summarizing for Effective Cover Song Identification
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019Self-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
Improved similarity fusion scheme for cover song identification [PDF]
Electronics Letters, 2018 A Cover Song Identification (CSI) scheme based on non‐linear graph fusion and Tensor Product Graphs (TPGs) diffusion is proposed as an improvement to the authors' previously proposed similarity fusion‐based CSI scheme. First, the harmonic progression, melody evolution, and rhythm‐based descriptors are extracted from the track, respectively.
Ning Chen
exaly +2 more sources
Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification [PDF]
IEEE Transactions on Audio Speech and Language Processing, 2008 We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Information Retrieval (MIR) community along in the past, as it ...
Gómez, E, Joan Serrà, Emilia Gómez
exaly +3 more sources
Cochlear pitch class profile for cover song identification
Applied Acoustics, 2015Abstract 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 ...
Ning Chen
exaly +2 more sources