A voice trigger system using keyword and speaker recognition for mobile devices

Hyeopwoo Lee, Sukmoon Chang, Dongsuk Yook, Yongserk Kim

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Voice activity detection plays an important role for an efficient voice interface between human and mobile devices, since it can be used as a trigger to activate an automatic speech recognition module of a mobile device. If the input speech signal can be recognized as a predefined magic word coming from a legitimate user, it can be utilized as a trigger. In this paper, we propose a voice trigger system using a keyword-dependent speaker recognition technique. The voice trigger must be able to perform keyword recognition, as well as speaker recognition, without using computationally demanding speech recognizers to properly trigger a mobile device with low computational power consumption. We propose a template based method and a hidden Markov model (HMM) based method for the voice trigger to solve this problem. The experiments using a Korean word corpus show that the template based method performed 4.1 times faster than the HMM based method. However, the HMM based method reduced the recognition error by 27.8% relatively compared to the template based method. The proposed methods are complementary and can be used selectively depending on the device of interest.1

Original languageEnglish (US)
Article number5373813
Pages (from-to)2377-2384
Number of pages8
JournalIEEE Transactions on Consumer Electronics
Issue number4
StatePublished - Nov 2009

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering


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