Spoken document summarization using acoustic, prosodic and semantic information

@article{Huang2005SpokenDS,
  title={Spoken document summarization using acoustic, prosodic and semantic information},
  author={Chien-Lin Huang and Chia-Hsin Hsieh and Chung-Hsien Wu},
  journal={2005 IEEE International Conference on Multimedia and Expo},
  year={2005},
  pages={4 pp.-}
}
This paper presents a spoken document summarization scheme using acoustic, prosodic, and semantic information. First, speech recognition confidence is estimated to choose reliable words from the speech transcription. Prosodic information, including pitch and energy, is used for stressed word selection. Latent semantic indexing (LSI) is adopted to identify significant words. Finally, word trigram and semantic dependency is measured to include the syntactic and semantic information for speech… CONTINUE READING
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