Speech segmentation and spoken document processing

  title={Speech segmentation and spoken document processing},
  author={Mari Ostendorf and Beno{\^i}t Favre and Ralph Grishman and Dilek Hakkani-Tur and Matthew Harper and Dustin Hillard and Julia Hirschberg and Heng Ji and J. G. Kahn and Yang Liu and Sameer Maskey and Evgeny. Matusov and Hermann Ney and Aaron Rosenberg and Elizabeth Shriberg and Wen Wang and C. Woofers},
  journal={IEEE Signal Processing Magazine},
Progress in both speech and language processing has spurred efforts to support applications that rely on spoken rather than written language input. A key challenge in moving from text-based documents to such spoken documents is that spoken language lacks explicit punctuation and formatting, which can be crucial for good performance. This article describes different levels of speech segmentation, approaches to automatically recovering segment boundary locations, and experimental results… CONTINUE READING
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Joint optimization of parsing and word recognition with automatic segmentation

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