Towards end-to-end speech recognition with transfer learning

HIGHLIGHTS

• who: Chu-Xiong Qin from the (UNIVERSITY) have published the research: Towards end-to-end speech recognition with transfer learning, in the Journal: (JOURNAL)
• what: The authors propose a transfer learning-based approach that aims to solve the problem with limited speech resource under end-to-end architecture. In the research , transfer learning is implemented in two levels. At the last section, the authors provide the conclusions . Inspired by_[15, 18] and the previous work , the authors propose two types of feature extractors for end-to-end systems.
• how: A transfer learning-based . . .
  

   

  

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