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Automatic Summarization of Voicemail Messages Using Lexical and Prosodic Features

Research output: Contribution to journalArticle

Original languageEnglish
Article number1
Number of pages21
JournalACM Transactions on Speech and Language Processing
Issue number1
Publication statusPublished - 1 Feb 2005


This aticle presents trainable methods for extracting principal content words from voicemail messages. The short text summaries generated are suitable for mobile messaging applications. The system uses a set of classifiers to identify the summary words with each word described by a vector of lexical and prosodic features. We use an ROC-based algorithm, Parcel, to select input features (and classifiers). We have performed a series of objective and subjective evaluations using unseen data from two different speech recognition systems as well as human transcriptions of voicemail speech.

    Research areas

  • Voicemail, automatic summarization, feature subset selection, prosody, receiver operating characteristic, short message service

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