Voice pathology detection using a two-level classifier based on combined cnn-rnn architecture

HIGHLIGHTS

  • who: Amel Ksibi and collaborators from the Department of Information Systems, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia have published the research work: Voice Pathology Detection Using a Two-Level Classifier Based on Combined CNN-RNN Architecture, in the Journal: Sustainability 2023, 15, x FOR PEER REVIEW of 11/Dec/2022
  • what: Similar to the bulk of earlier efforts this study analyzed the audio signal by focusing solely on a single vowel such as /a/ and ignoring phrases and other vowels. As a were first step towards dataset . . .

     

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