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A Two-stage Pattern Matching Method for Speaker Recognition of Partner Robots

  • Liaoning University of Petroleum and Chemical Technology
  • Tokyo Metropolitan University
  • University of Portsmouth

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

Abstract

By using human speech information, different kinds of speaker and speech recognition systems have been developed for partner robots to efficiently cooperate with people in the daily life. For improving the recognition accuracy and robustness, a two-stage pattern matching algorithm for speaker recognition system of partner robots is proposed. In the first matching stage, by using fuzzy c-means and declustering in vector quantization(VQ) method, the recognition performance with limited training data is improved. For avoiding the phenomenon of similar cepstral features by different speakers, with three additional speech features, the second stage is designed to rematch the similar recognition results of the first stage. In order to evaluate the proposed structure, some experiments have implemented on a public database ELSDSR and an speech owners database for partner robots. The results verified the proposed method obtained more accurate recognition results with strong robustness.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781424469208
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010 - Barcelona, Spain
Duration: 18 Jul 201023 Jul 2010

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2010 IEEE International Conference on Fuzzy Systems, FUZZ 2010
Country/TerritorySpain
CityBarcelona
Period18/07/1023/07/10

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