Abstract
A solution to the problem of fast single-pass alignment of speech with imperfect transcripts is introduced. The proposed technique is based on constructing a special word network for segmentation. We examine robustness and segmentation quality for different types of errors and different levels of noise in the text, depending on the parameters of network tuning. Experiments showed that with properly selected parameters the algorithm is robust to noise of any type in transcripts. The proposed approach has been successfully applied to the task of creating movie subtitles.
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