Self-supervised learning for Formosan speech representation and linguistic phylogeny

Article Properties
Abstract
Cite
Hsieh, Shu-Kai, et al. “Self-Supervised Learning for Formosan Speech Representation and Linguistic Phylogeny”. Frontiers in Language Sciences, vol. 3, 2024, https://doi.org/10.3389/flang.2024.1338684.
Hsieh, S.-K., Tseng, Y.-H., Lian, D.-C., & Wang, C.-W. (2024). Self-supervised learning for Formosan speech representation and linguistic phylogeny. Frontiers in Language Sciences, 3. https://doi.org/10.3389/flang.2024.1338684
Hsieh, Shu-Kai, Yu-Hsiang Tseng, Da-Chen Lian, and Chi-Wei Wang. “Self-Supervised Learning for Formosan Speech Representation and Linguistic Phylogeny”. Frontiers in Language Sciences 3 (2024). https://doi.org/10.3389/flang.2024.1338684.
Hsieh SK, Tseng YH, Lian DC, Wang CW. Self-supervised learning for Formosan speech representation and linguistic phylogeny. Frontiers in Language Sciences. 2024;3.
Journal Category
Language and Literature
Refrences
Title Journal Journal Categories Citations Publication Date
A comprehensive survey on automatic speech recognition using neural networks Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2023
Emergent linguistic structure in artificial neural networks trained by self-supervision

 Proceedings of the National Academy of Sciences
  • Science: Science (General)
 65 2020
wav2vec 2.0: a framework for self-supervised learning of speech representations 2020
The Austronesian Homeland and Dispersal

 Annual Review of Linguistics
  • Language and Literature: Philology. Linguistics
  • Language and Literature: Philology. Linguistics
  • Social Sciences
 18 2019
Global-scale phylogenetic linguistic inference from lexical resources

 Scientific Data
  • Science
  • Science: Science (General)
 31 2018