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Chapter

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Title

Improving of Speaker Identification from Mobile Telephone Calls

Authors

[ 1 ] Katedra Sterowania i Inżynierii Systemów, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Keywords
EN
  • speaker identification
  • GSM
  • Gaussian mixture models
Abstract

EN The paper examines issues related to proper selection of models used for quick speaker recognition based on short recordings of mobile telephone conversations. A knowledge of the encoder type used during the transmission of speech allows to apply an appropriate model that takes specific characteristics of the encoder into account: full rate (FR), half rate (HR), enhanced full rate (EFR) and adaptive multi-rate (AMR). We analyse both proper model selection and automatic silence removal. Analysis of time of processing is also a part of this study.

Pages (from - to)

254 - 264

DOI

10.1007/978-3-319-07569-3_21

URL

https://link.springer.com/chapter/10.1007/978-3-319-07569-3_21

Book

Multimedia Communications, Services and Security : 7th International Conference, MCSS 2014, Krakow, Poland, June 11-12, 2014 : proceedings

Presented on

7th International Conference on Multimedia Communications, Services and Security, MCSS 2014, 11-12.06.2014, Kraków, Poland

Publication indexed in

WoS (15)

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