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
this https URL .

提出一种全自动的语音纠错和口音减少系统，称为 CorrectSpeech，能够识别、对齐、编辑语音，用于纠正不当用词、发音错误等问题。实验结果验证了该系统的实用性和效果，可用于语音录音的口音校正。