  This study propose a fully automated system for speech correction and accent
reduction. Consider the application scenario that a recorded speech audio
contains certain errors, e.g., inappropriate words, mispronunciations, that
need to be corrected. The proposed system, named CorrectSpeech, performs the
correction in three steps: recognizing the recorded speech and converting it
into time-stamped symbol sequence, aligning recognized symbol sequence with
target text to determine locations and types of required edit operations, and
generating the corrected speech. Experiments show that the quality and
naturalness of corrected speech depend on the performance of speech recognition
and alignment modules, as well as the granularity level of editing operations.
The proposed system is evaluated on two corpora: a manually perturbed version
of VCTK and L2-ARCTIC. The results demonstrate that our system is able to
correct mispronunciation and reduce accent in speech recordings. Audio samples
are available online for demonstration
https://daxintan-cuhk.github.io/CorrectSpeech/ .
