Results 1 to 10 of about 22,172 (210)
Training audio transformers for cover song identification
EURASIP Journal on Audio, Speech, and Music Processing, 2023 In the past decades, convolutional neural networks (CNNs) have been commonly adopted in audio perception tasks, which aim to learn latent representations.
Te Zeng, Francis C. M. Lau
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A Robust Cover Song Identification System with Two-Level Similarity Fusion and Post-Processing
Applied Sciences, 2018 Similarity measurement plays an important role in various information retrieval tasks. In this paper, a music information retrieval scheme based on two-level similarity fusion and post-processing is proposed.
Mingyu Li, Ning Chen
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A heuristic for distance fusion in cover song identification [PDF]
2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2013 In this paper, we propose a method to integrate the results of different cover song identification algorithms into one single measure which, on the average, gives better results than initial algorithms. The fusion of the different distance measures is made by projecting all the measures in a multi-dimensional space, where the dimensionality of this ...
Riccardo Leonardi +2 more
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Two-layer similarity fusion model for cover song identification
EURASIP Journal on Audio, Speech, and Music Processing, 2017 Various musical descriptors have been developed for Cover Song Identification (CSI). However, different descriptors are based on various assumptions, designed for representing distinct characteristics of music, and often differ in scale and noise level ...
Ning Chen, Mingyu Li, Haidong Xiao
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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
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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 ...
Joan Serra +2 more
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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
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The Effect of Vegetation Covers on Surface Temperature Changing of Isfahan City (2001-2020) [PDF]
برنامه ریزی فضایی, 2023 The surface of the earth or the top of the earth at the level of cities and urban areas becomes significantly higher than the surrounding environment, which is known as the thermal component.
Reza Zakerinejad +2 more
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Bytecover: Cover Song Identification Via Multi-Loss Training [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 We present in this paper ByteCover, which is a new feature learning method for cover song identification (CSI). ByteCover is built based on the classical ResNet model, and two major improvements are designed to further enhance the capability of the model for CSI.
Xingjian Du +4 more
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A Feature Selection Algorithm Based on Differential Evolution for English Speech Emotion Recognition
Applied Sciences, 2023 The automatic identification of emotions from speech holds significance in facilitating interactions between humans and machines. To improve the recognition accuracy of speech emotion, we extract mel-frequency cepstral coefficients (MFCCs) and pitch ...
Liya Yue +3 more
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