A comparison of low-complexity real-time feature extraction for neuromorphic speech recognition

HIGHLIGHTS

• who: Arindam Basu from the HealthTech NTU, Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore, School of, University of Zurich and ETH Zurich, Zurich, Switzerland have published the article: A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech Recognition, in the Journal: (JOURNAL)
• what: Several different low-complexity feature extraction methods that do not require storage of entire spike trains are explored in this paper and tradeoffs between memory/computation requirements and recognition accuracy are presented. For the experiments in this paper, the authors have simulated the feature extraction block in software . . .
  

   

  

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