A sequence-to-sequence voice conversion model trained on a native rater's shadowing utterances can spot unintelligible segments in L2 speech, beating an ASR baseline on the native rater but not on all listeners.
Many studies indicate that mispronunciations or ac- cents do not necessarily result in unintelligible speech
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A Perception-Based L2 Speech Intelligibility Indicator: Leveraging a Rater's Shadowing and Sequence-to-sequence Voice Conversion
A sequence-to-sequence voice conversion model trained on a native rater's shadowing utterances can spot unintelligible segments in L2 speech, beating an ASR baseline on the native rater but not on all listeners.