Results 31 to 40 of about 5,794,161 (178)
Class-conditional Embeddings for Music Source Separation [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 5 ...
Prem Seetharaman +3 more
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Sparse representations in audio & music: from coding to source separation [PDF]
, 2010 —Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME +15 more
core +1 more source
Mel-Band RoFormer for Music Source Separation
CoRR, 2023 Recently, multi-band spectrogram-based approaches such as Band-Split RNN (BSRNN) have demonstrated promising results for music source separation. In our recent work, we introduce the BS-RoFormer model which inherits the idea of band-split scheme in BSRNN at the front-end, and then uses the hierarchical Transformer with Rotary Position Embedding (RoPE ...
Ju-Chiang Wang, Wei Tsung Lu, Minz Won
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Transfer Learning with Jukebox for Music Source Separation
, 2022 Conference paper (AIAI 2022), 4 pages, 2 figures, 2 ...
Wadhah Zai El Amri +3 more
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Parallel multichannel music source separation system [PDF]
The Journal of Supercomputing, 2020 This work has been supported by the Regional Ministry of the Principado de Asturias under Grants FC-GRUPIN-IDI/2018/000226, the Government of the Junta de Andalucía under Grants “PAIDI 2020. Convocatoria 2017 de Ayudas a Actividades de Transferencia de Conocimiento” with reference AT-6044, and the University of Jaén under the program “Acción 1. Apoyo a
Antonio Jesús Muñoz-Montoro +4 more
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The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio source separation
, 2022 S.414-422This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campaign (SiSEC2011). Four speech and music datasets were contributed, including datasets recorded in noisy or dynamic environments and a subset of the
Vincent, E. +6 more
core +2 more sources
Music Source Separation in the Waveform Domain [PDF]
, 2021 Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song.
Défossez, Alexandre +3 more
core +2 more sources
Spectrogram Feature Losses for Music Source Separation [PDF]
2019 27th European Signal Processing Conference (EUSIPCO), 2019 Accepted for presentation at the 27th European Signal Processing Conference (EUSIPCO 2019)
Abhimanyu Sahai +2 more
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The 2010 signal separation evaluation campaign (SiSEC2010): Audio source separation
, 2022 S.114-122This paper introduces the audio part of the 2010 community-based Signal Separation Evaluation Campaign (SiSEC2010). Seven speech and music datasets were contributed, which include datasets recorded in noisy or dynamic environments, in addition ...
Ozerov, A. +7 more
core +2 more sources
Piano Concerto Dataset (PCD): A Multitrack Dataset of Piano Concertos
Transactions of the International Society for Music Information Retrieval, 2023 The piano concerto is a genre of central importance in Western classical music, often consisting of a virtuoso solo part for piano and an orchestral accompaniment.
Yigitcan Özer +5 more
doaj +1 more source