  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.
