Training audio transformers for cover song identification
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
doaj +2 more sources
A Heuristic for Distance Fusion in Cover Song Identification [PDF]
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.
Alessio Degani +3 more
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Two-layer similarity fusion model for cover song identification
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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The Effect of Vegetation Covers on Surface Temperature Changing of Isfahan City (2001-2020) [PDF]
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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A Feature Selection Algorithm Based on Differential Evolution for English Speech Emotion Recognition
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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Identifying Cover Songs Using Information-Theoretic Measures of Similarity [PDF]
This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/This paper investigates methods for quantifying similarity between audio signals, specifically for the task of ...
Dixon, S, Foster, P, Klapuri, A
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A Robust Cover Song Identification System with Two-Level Similarity Fusion and Post-Processing
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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Robust singer identification of Indian playback singers
Singing voice analysis has been a topic of research to assist several applications in the domain of music information retrieval system. One such major area is singer identification (SID). There has been enormous increase in production of movies and songs
Deepali Y. Loni, Shaila Subbaraman
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Acoustic model adaptation for ortolan bunting (Emberiza hortulana L.) song-type classification [PDF]
Automatic systems for vocalization classification often require fairly large amounts of data on which to train models. However, animal vocalization data collection and transcription is a difficult and time-consuming task, so that it is expensive to ...
Johnson, Michael T. +2 more
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Mu-Mixer: A Hierarchical MLP-Based Framework for Cover Song Identification
Cover Song Identification (CSI) is a fundamental task in music information retrieval, essential for copyright protection and content organization. While Convolutional Neural Networks (CNNs) and Transformers have significantly advanced CSI, they suffer ...
Jungwoo Heo +6 more
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