Theory for speaker recognition over IP

Thomas Eriksson, Samuel Kim, Hong Goo Kang, Chungyong Lee

Research output: Contribution to conferencePaperpeer-review


In this paper, we develop theory for speaker recognition, based on information theory. We show that the performance of a speaker recognition system is closely connected to the mutual information between features and speaker, and derive upper and lower bounds for the performance. We apply the theory to the case when the speech is coded and transmitted over a packet-based channel, in which packet losses occurs. The theory gives important insights in what methods can be used to improve the recognition performance, and what methods are meaningless.

Original languageEnglish
Number of pages4
Publication statusPublished - 2004
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: 2004 Oct 42004 Oct 8


Other8th International Conference on Spoken Language Processing, ICSLP 2004
Country/TerritoryKorea, Republic of
CityJeju, Jeju Island

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language


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