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META Health

United States

12 papers here16 citations across 12
fields
  • cs.GR4
  • cs.CV3
  • cs.AI1
  • cs.HC1
  • cs.IR1
  • eess.AS1
  • physics.optics1
ROR 035h67p10OpenAlex

affiliations via OpenAlex

most citedSpectrogram features for audio and speech analysis

6 citations

researchers with a paper here
  • Alexander Min Meta Superintelligence Labs2 · h 0
  • Cho-Jui Hsieh2 profiles2 · h 4
  • Hayeon Lee2 · h 9
  • Shuibenyang Yuan2 · h 0
  • Sohyun An2 · h 4
  • Ucla2 · h 1
  • A. Aubel1 · h 1
  • A. Jarabo1 · h 24
  • Ajinkya Deogade1 · h 4
  • Alexander Fix1 · h 2
  • Alexander G. Ororbia1 · h 27
  • Alexander Sjoholm1 · h 1
collaborating institutions
  • UCLA HealthUS2 papers
  • Austrian Institute of TechnologyAT1 paper
  • Duke Kunshan UniversityCN1 paper
  • ETH ZurichCH1 paper
  • Mohamed bin Zayed University of Artificial IntelligenceAE1 paper
  • OFM Research (United States)US1 paper
  • Rochester Institute of TechnologyUS1 paper
  • Singapore Institute of TechnologySG1 paper
  • TU WienAT1 paper
  • University College LondonGB1 paper
  • University of California, BerkeleyUS1 paper
  • University of California San DiegoUS1 paper
Showing eess.ASShow all

1 paper · 1 filter

eess.AS2026★ 6 cited

Spectrogram features for audio and speech analysis

Ian McLoughlin, Lam Pham, Yan Song +7

Spectrogram-based representations have grown to dominate the feature space for deep learning audio analysis systems, and are often adopted for speech analysis also. Initially, the…

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