Flowchase: a Mobile Application for Pronunciation Training

Noé Tits, Zoé Broisson
7/5/2023
eess.AScs.AIcs.CL

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Abstract

In this paper, we present a solution for providing personalized and instant feedback to English learners through a mobile application, called Flowchase, that is connected to a speech technology able to segment and analyze speech segmental and supra-segmental features. The speech processing pipeline receives linguistic information corresponding to an utterance to analyze along with a speech sample. After validation of the speech sample, a joint forced-alignment and phonetic recognition is performed thanks to a combination of machine learning models based on speech representation learning that provides necessary information for designing a feedback on a series of segmental and supra-segmental pronunciation aspects.

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Cite this paper

@article{tits2023flowchase,
  title  = {Flowchase: a Mobile Application for Pronunciation Training},
  author = {Noé Tits and Zoé Broisson},
  year   = {2023},
  eprint = {2307.02051},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.02051v1}
}

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