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Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8113)

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.

Keywords

speech segmentation imperfect transcriptions speech-text alignment closed caption 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Speech Technology CenterSaint-PetersburgRussia

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