DETECTING USER SPEECH IN BARGE-IN OVER PROMPTS USING SPEAKER IDENTIFICATION METHODS

Abraham Ittycheriah, Richard J. Mammone

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we investigate the use of a speaker identification technique to solve the barge-in speech detection problem. This scenario is a very simple application of speaker identification since only two users are involved. This is further simplified by the fact that the prompt speaker can be modelled apriori. Additionally, the user can be modelled as well improving the performance of the system on subsequent utterances. In the system described below, we explicitly model several non-speech sounds such as laughter, coughs and breath noises. We show that this technique is generally better than that of current methods which measure the ratio of incoming speech energy to that of the prompt signal being played.

Original languageEnglish (US)
Pages327-330
Number of pages4
StatePublished - 1999
Event6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 - Budapest, Hungary
Duration: Sep 5 1999Sep 9 1999

Conference

Conference6th European Conference on Speech Communication and Technology, EUROSPEECH 1999
Country/TerritoryHungary
CityBudapest
Period9/5/999/9/99

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Linguistics and Language
  • Communication

Fingerprint

Dive into the research topics of 'DETECTING USER SPEECH IN BARGE-IN OVER PROMPTS USING SPEAKER IDENTIFICATION METHODS'. Together they form a unique fingerprint.

Cite this