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Model Adaptation System and Method for Speaker Recognition

  • US 20080208581A1
  • Filed: 12/03/2004
  • Published: 08/28/2008
  • Est. Priority Date: 12/05/2003
  • Status: Abandoned Application
First Claim
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1. A system for speaker modelling, said system comprising:

  • a library of acoustic data relating to a plurality of background speakers, representative of a population of interest;

    a library of acoustic data relating to a plurality of reference speakers, representative of a population of interest;

    a database containing at least one training sequenced, said training sequence relating to one or more target speakers;

    a memory for storing a background model and a speaker model for said one or more target speakers; and

    at least one processor coupled to said library, database and memory, wherein said at least one processor is configured to;

    estimate a background model based on a library of acoustic data from a plurality of background speakers;

    train a set of Gaussian mixture models (GMMs) from a library of acoustic data from a plurality of reference speakers and the background model;

    estimate a prior distribution of speaker model parameters using information from the trained set of GMMs and the background model, wherein correlation information is extracted from the trained set of GMMs;

    estimate a speaker model for said one or more target speaker(s), using a GMM structure based on the maximum a posteriori (MAP) criterion; and

    store said background model and said speaker model in said memory.

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