SCANMail: audio navigation in the voicemail domain

  • Authors:
  • Michiel Bacchiani;Julia Hirschberg;Aaron Rosenberg;Steve Whittaker;Donald Hindle;Phil Isenhour;Mark Jones;Litza Stark;Gary Zamchick

  • Affiliations:
  • AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ;AT&T Labs - Research, NJ

  • Venue:
  • HLT '01 Proceedings of the first international conference on Human language technology research
  • Year:
  • 2001

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Abstract

This paper describes SCANMail, a system that allows users to browse and search their voicemail messages by content through a GUI. Content based navigation is realized by use of automatic speech recognition, information retrieval, information extraction and human computer interaction technology. In addition to the browsing and querying functionalities, acoustics-based caller ID technology is used to proposes caller names from existing caller acoustic models trained from user feedback. The GUI browser also provides a note-taking capability. Comparing SCANMail to a regular voicemail interface in a user study, SCANMail performed better both in terms of objective (time to and quality of solutions) as well as subjective objectives.