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Hearing4all

Germany

3 papers here21 citations across 3
fields
  • cs.CL1
  • cs.SD1
  • stat.ML1
ROR 0393vzh87OpenAlex

affiliations via OpenAlex

most citedOn the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition

19 citations

researchers with a paper here
  • Angel Mario Castro Martinez1 · h 5
  • Bernd T. Meyer1 · h 23
  • D. Forster1 · h 7
  • Jörg Lücke1 · h 18
  • Sri Harish Reddy Mallidi1 · h 17
  • V. Hohmann1 · h 33
  • Zhangli Chen1 · h 4
collaborating institutions
  • Carl von Ossietzky Universität OldenburgDE3 papers
  • Johns Hopkins UniversityUS1 paper

3 papers

cs.CL2017★ 19 cited

On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition

Angel Mario Castro Martinez, Sri Harish Mallidi, Bernd T. Meyer

Previous studies support the idea of merging auditory-based Gabor features with deep learning architectures to achieve robust automatic speech recognition, however, the cause behin…

stat.ML2017★ 2 cited

Truncated Variational EM for Semi-Supervised Neural Simpletrons

Dennis Forster, Jörg Lücke

Inference and learning for probabilistic generative networks is often very challenging and typically prevents scalability to as large networks as used for deep discriminative appro…

cs.SD2015

Online Monaural Speech Enhancement Based on Periodicity Analysis and A Priori SNR Estimation

Zhangli Chen, Volker Hohmann

This paper describes an online algorithm for enhancing monaural noisy speech. Firstly, a novel phase-corrected low-delay gammatone filterbank is derived for signal subband decompos…

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