Results 91 to 100 of about 5,794,161 (178)
Music Source Separation With Band-Split Rope Transformer
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Music source separation (MSS) aims to separate a music recording into multiple musically distinct stems, such as vocals, bass, drums, and more. Recently, deep learning approaches such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have been used, but the improvement is still limited.
Wei Tsung Lu +3 more
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EURASIP Journal on Advances in Signal ProcessingCNN-based UNet is a widely employed network architecture for music source separation (MSS). Meanwhile, spectrogram features of music audio, which consist of both time and frequency information, are commonly used as inputs for MSS tasks.
Zhenyu Yao +4 more
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Monaural score-informed source separation for classical music using convolutional neural networks
, 2017 Comunicació presentada a la 18th International Society for Music Information Retrieval Conference (ISMIR 2017), celebrada els dies 23 a 27 d'octubre de 2017 a Suzhou, Xina.Score information has been shown to improve music source separation when included ...
Janer Mestres, Jordi +2 more
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On Loss Functions for Music Source Separation
, 2020 Despite that L1 and L2 loss functions do not represent any perceptually-related information besides waveform-matching, these achieve remarkable results when used to train music source separation models. Our work contributes in extending the existing literature on loss functions for training deep learning audio models — to keep understanding of the pros
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Speech/Music Discrimination: Novel Features in Time Domain [PDF]
, 2010 This research aimed to find novel features that can be used to discriminate between speech and music in the time domain for the purpose of data retrieval.
Alnadabi, Muhammad Saeid Muhammad +1 more
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An In-depth Review on Music Source Separation
International Journal of Advanced Research in Science, Communication and TechnologyThe study in Music Source Separation (MSS) raises a fundamental question: Is there any benefit in considering broader contextual information, or are local acoustic features adequate? In various domains, attention-based Transformers [1] have demonstrated their capacity to assimilate information across extensive sequences.
null Prof. K. G. Jagtap +4 more
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Source separation in middle- and low-income countries [PDF]
, 2013 This chapter argues that source-separating sanitation systems still have a limited, but potentially growing role in middle- and low-income countries. It notes that the drivers and constraints for introducing source separation on a larger scale differ ...
Panesar, Arne (author) +1 more
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Perceptual errors in music source separation: looking beyond SDR averages [PDF]
Music source separation extracts individual instrument/performer stems from mixed musical recordings. Performance is typically evaluated using metrics like source-to-distortion ratio (SDR), with higher values indicating better separation.
Woods, B +5 more
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Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder [PDF]
I developed a neural audio codec model based on the residual quantized variational autoencoder architecture. I train the model on the Slakh2100 dataset, a standard dataset for musical source separation, composed of multi-track audio.
Berti, Leonardo
core
CLASSIFICATION OF AUDIO SOURCE CHANNELS USING TIME-FREQUENCY ANALYSIS AND DECISION TREE CLASSIFIER
Academy Journal of Science and EngineeringThis paper presents the development and classification of audio source separation algorithms utilizing timefrequency analysis techniques, specifically Wigner-Ville distributions (WVDs), compact kernel distribution (CKD) and multi-directional distribution
Sagir Lawan +4 more
doaj