Whistling to machines

  • Urko Esnaola*
  • , Tim Smithers
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

The classical approach to improve human-machine interaction is to make machines seem more like us. One very common way of doing this is to try to make them able to use Human Natural Languages. The trouble is that current speech understanding techniques do not work well in uncontrolled and noisy environments, such as the ones we live and work in. Nor do these attempts mean that the machines use our languages in the way we do: they typically don't speak much like we do, and we mostly have to speak to them in special unnatural ways for them to be able to understand. Rather than require people to adapt how they speak to machines, so that the machines can understand them, we present a simple artificial language, based upon musical notes, that can be learned and whistled easily by most people, and so used for simple communication with robots and other kinds of machines that we use in our everyday environments.

Original languageEnglish
Title of host publicationAmbient Intelligence in Everyday Life
Pages198-226
Number of pages29
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventWorkshop of Ambient Intelligence in Everyday Life Workshop - Donostia-San Sebastian, Spain
Duration: 21 Jul 200522 Jul 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3864 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshop of Ambient Intelligence in Everyday Life Workshop
Country/TerritorySpain
CityDonostia-San Sebastian
Period21/07/0522/07/05

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