Speech and music source separation for cochlear implant users: front-end and end-to-end approach [PDF]
Frontiers in NeuroscienceA cochlear implant (CI) is a surgically implanted neuroprosthetic device designed to restore auditory perception in individuals with profound sensorineural hearing loss.
Sina Tahmasebi +4 more
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Applied Sciences, 2020 We propose a source separation architecture using dilated time-frequency DenseNet for background music identification of broadcast content. We apply source separation techniques to the mixed signals of music and speech. For the source separation purpose,
Woon-Haeng Heo, Hyemi Kim, Oh-Wook Kwon
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The First Cadenza Challenge: Perceptual Evaluation of Machine Learning Systems to Improve Audio Quality of Popular Music for Those with Hearing Loss [PDF]
Trends in HearingMusic is central to many people's lives, and hearing loss (HL) is often a barrier to musical engagement. Hearing aids (HAs) help, but their efficacy in improving speech does not consistently translate to music.
Scott Bannister +10 more
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Parallel Stacked Hourglass Network for Music Source Separation
IEEE Access, 2020 Music source separation is one of the old and challenging problems in music information retrieval society. Improvements in deep learning lead to big progress in decomposing music into its constitutive components with a variety of music.
Bhuwan Bhattarai +2 more
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Multichannel Blind Music Source Separation Using Directivity-Aware MNMF With Harmonicity Constraints
IEEE Access, 2022 In this paper we present a harmonic constrained Multichannel Non-Negative Matrix Factorization (MNMF) method for the task of blind music source separation.
Antonio J. Munoz-Montoro +4 more
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A music source separation method integrating time–frequency decoupling and mamba-based state space modeling [PDF]
Scientific ReportsMusic source separation, as a fundamental task in intelligent audio processing, plays a critical role in enhancing the performance of music generation, editing, and understanding systems.
Chongbin Zhang, Jiaxiang Zheng, Moxi Cao
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A two-stage deep learning framework for lead instrument recognition in polyphonic music featuring Chinese instruments. [PDF]
PLoS ONERapid advancement of deep learning methodologies has considerably progressed the domain of automatic music analysis; however, several challenges remain in adapting these approaches to the intricate and multifaceted realm of Chinese traditional music.
Jiaxiang Zheng, Moxi Cao, Chongbin Zhang
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SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
IEEE Open Journal of Signal ProcessingRecent advancements in music source separation have significantly progressed, particularly in isolating vocals, drums, and bass elements from mixed tracks.
Jaime Garcia-Martinez +5 more
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ARABIC MUSIC ANALYSIS USING ARTIFICIAL INTELLIGENT TEQNIQUES [PDF]
مجلة بحوث التربية النوعية, 2022 Singing is the use of the human voice to make musically meaningful sounds, and it is used in most cultures for enjoyment or self-expression. Songs are audio signal and musical instrument representations.
Eman A. Esmaeil
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Integrating Dilated Convolution into DenseLSTM for Audio Source Separation
Applied Sciences, 2021 Herein, we proposed a multi-scale multi-band dilated time-frequency densely connected convolutional network (DenseNet) with long short-term memory (LSTM) for audio source separation.
Woon-Haeng Heo, Hyemi Kim, Oh-Wook Kwon
doaj +1 more source