Results 181 to 190 of about 22,172 (210)

Music Appreciation in Prelingually Deafened Patients: A Scoping Review. [PDF]

OTO Open
Pinkus VP, Herberger L, Mazumder S, Blake L, Dornhoffer J, Saadi R.   +5 more
europepmc   +1 more source

A Mixture of Experts Model for Third-Party Pipeline Intrusion Detection Using DAS. [PDF]

Sensors (Basel)
Zhu S, Fu M, Zhang H, Jiao H, Zhao Y, Wu Z, Wang H, Song B.   +7 more
europepmc   +1 more source

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Deep feature learning for cover song identification

Multimedia Tools and Applications, 2016
The 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, Chang Pao-Chi
exaly   +2 more sources

Time complexity evaluation of cover song identification algorithms

Applied Acoustics, 2021
Abstract 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 ...
Rodrigo Fernandes De Mello, Martha Dais Ferreira   +1 more
exaly   +2 more sources

Cover song identification with 2D Fourier Transform sequences

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
We approach cover song identification using a novel time-series representation of audio based on the 2DFT. The audio is represented as a sequence of magnitude 2D Fourier Transforms (2DFT). This representation is robust to key changes, timbral changes, and small local tempo deviations. We look at cross-similarity between these time-series, and extract a
Zafar Rafii, Prem Seetharaman
exaly   +2 more sources

Fusing similarity functions for cover song identification

Multimedia Tools and Applications, 2017
Cover 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

Cover Song Identification Using Song-to-Song Cross-Similarity Matrix with Convolutional Neural Network

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, Juheon Lee
exaly   +2 more sources

Effective Cover Song Identification Based on Skipping Bigrams

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
So far, few cover song identification systems that utilize index techniques achieve great success. In this paper, we propose a novel approach based on skipping bigrams that could be used for effective index. By applying Vector Quantization, our algorithm encodes signals into code sequences.
Xiaoou Chen, Deshun Yang
exaly   +2 more sources