PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Efficient Speaker Identification and Retrieval
Hagai Aronowitz and David Burstein
In: INTERSPEECH 2005, 4-8 Sep 2005, Lisbon, Portugal.


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.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
ID Code:1690
Deposited By:Hagai Aronowitz
Deposited On:28 November 2005