Efficient speaker identification and retrieval

Hagai Aronowitz*, David Burshtein

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations

Abstract

In this paper we present techniques for efficient speaker recognition of a large population of speakers and for efficient speaker retrieval in large audio archives. We deal with aspects of both time and storage. We use Gaussian mixture modeling (GMM) for representing both train and test sessions and show how to perform speaker recognition and retrieval efficiently with only a small degradation in accuracy compared to classic GMM based recognition. We present techniques for achieving a dramatic acceleration of both tasks. Finally, we present a GMM compression algorithm that decreases considerably the storage needed for speaker retrieval.

Original languageEnglish
Pages2433-2436
Number of pages4
StatePublished - 2005
Event9th European Conference on Speech Communication and Technology - Lisbon, Portugal
Duration: 4 Sep 20058 Sep 2005

Conference

Conference9th European Conference on Speech Communication and Technology
Country/TerritoryPortugal
CityLisbon
Period4/09/058/09/05

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