Talking to a system and oneself: A study from a speech-to-speech, machine translation mediated map task

Hayakawa Akira, Fasih Haider, Saturnino Luz, Loredana Cerrato, Nick Campbell

Research output: Contribution to conferencePaperpeer-review

Abstract

The results of a comparison between three different speech types—On-Talk, speaking to a computer, Off-Talk Self, speaking to oneself and Off-Talk Other, speaking to another person — uttered by subjects in a collaborative interlingual task mediated by an automatic speech-to-speech translation system, are reported here. The characteristics of the three speech types show significant differences in terms of speech rate (F2,2719 = 101.7; p <2e − 16), and for this reason a detection method was implemented to see if they could also be detected with good accuracy based on their acoustic and biological characteristics. Acoustic and biological measures provide good results in distinguish between On-Talk and Off-Talk, but have difficulty distinguishing the sub-criteria of Off-Talk: Self and Other.

Original languageEnglish
Pages776-780
Number of pages5
DOIs
Publication statusPublished - 2016
EventSpeech Prosody 2016 - Boston, United States
Duration: 31 May 20163 Jun 2016
http://sites.bu.edu/speechprosody2016/

Conference

ConferenceSpeech Prosody 2016
Country/TerritoryUnited States
CityBoston
Period31/05/163/06/16
Internet address

Keywords

  • Computational paralinguistics
  • Human-computer interaction
  • Speech recognition

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