Neural LCS uses learned phoneme and word similarity instead of exact matches to align dysfluent speech to intended text, and it outperforms DTW and Hard LCS on simulated benchmarks.
Unconstrained dysfluency modeling for dysfluent speech transcription and de- tection,
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Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis
Neural LCS uses learned phoneme and word similarity instead of exact matches to align dysfluent speech to intended text, and it outperforms DTW and Hard LCS on simulated benchmarks.