ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.12232
  4. Cited By
A Comparison of Hybrid and End-to-End Models for Syllable Recognition

A Comparison of Hybrid and End-to-End Models for Syllable Recognition

19 September 2019
Sebastian P. Bayerl
Korbinian Riedhammer
ArXivPDFHTML

Papers citing "A Comparison of Hybrid and End-to-End Models for Syllable Recognition"

1 / 1 papers shown
Title
End-to-end acoustic modelling for phone recognition of young readers
End-to-end acoustic modelling for phone recognition of young readers
Lucile Gelin
Morgane Daniel
J. Pinquier
Thomas Pellegrini
18
13
0
04 Mar 2021
1