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Dexerials (Japan)

Japan

5 papers here35 citations across 5
fields
  • eess.AS2
  • cs.AI1
  • cs.SD1
  • quant-ph1
ROR 03p330m15OpenAlex

affiliations via OpenAlex

output
20152025
most citedThe Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track

26 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Chris L. Baker1 · h 18
  • E. Tsunoo1 · h 15
  • Hiroyuki Tezuka1 · h 7
  • J. Tenenbaum1 · h 140
  • Nabarun Goswami1 · h 6
  • Naoya Takahashi1 · h 20
  • Ryo Nakahashi1 · h 3
  • Shinji Watanabe1 · h 86
  • Yosuke Kashiwagi1 · h 11
  • Yuki Mitsufuji1 · h 29
  • Yuki Sato1 · h 2
collaborating institutions
  • Sony (Taiwan)TW3 papers
  • Arrow International (United States)US1 paper
  • Artificial Intelligence in Medicine (Canada)CA1 paper
  • Central Conservatory of MusicCN1 paper
  • Centro Universitário de João PessoaBR1 paper
  • Computing CenterRU1 paper
  • Eiken Chemical (Japan)JP1 paper
  • Florida Gateway CollegeUS1 paper
  • Institute for Design Problems in MicroelectronicsRU1 paper
  • Institute of Cognitive and Brain SciencesUS1 paper
  • Johns Hopkins UniversityUS1 paper
  • Keio UniversityJP1 paper
Showing 2018 · cs.SDShow all

1 paper · 2 filters

cs.SD2018★ 6 cited

MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation

Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji

Deep neural networks have become an indispensable technique for audio source separation (ASS). It was recently reported that a variant of CNN architecture called MMDenseNet was suc…

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