Improving hybrid ctc/attention architecture for agglutinative language speech recognition

HIGHLIGHTS

  • who: Zeyu Ren and colleagues from the Research Center, College of Information Science and Engineering, Xinjiang University, Urumqi, China have published the article: Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition, in the Journal: Sensors 2022, 22, 7319. of 23/09/2022
  • what: To develop the performance of an E2E agglutinative language speech recognition system the authors propose a new feature extractor MSPC which uses different sizes of convolution kernels to extract and fuse features of different scales. To address these issues, the authors propose an ASR system based on hybrid CTC/attention . . .

     

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