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2009•Unpublished venueRequires access

GMM and ANN Hybrid Model and its Application in Speaker Identification

Shu-fen Liang

Open publisher page 1 citations

Abstract

An inter-speaker information ANN(Artificial Neural Networks) method is presented, in which analyze GMM (Gaussian mixture model) speaker identification system performance, and a hybrid GMM and ANN speaker identification system is constructed. Experiments show that higher identification ratio of hybrid GMM and ANN system of speaker identification is gained than that of GMM and MLP (Multilayer Perception).

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What this paper is about

An inter-speaker information ANN(Artificial Neural Networks) method is presented, in which analyze GMM (Gaussian mixture model) speaker identification system performance, and a hybrid GMM and ANN speaker identification system is constructed. Experiments show that higher identification ratio of hybrid GMM and ANN system of speaker identification is gained than that of GMM and MLP (Multilayer Perception).

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Available abstract

An inter-speaker information ANN(Artificial Neural Networks) method is presented, in which analyze GMM (Gaussian mixture model) speaker identification system performance, and a hybrid GMM and ANN speaker identification system is constructed. Experiments show that higher identification ratio of hybrid GMM and ANN system of speaker identification is gained than that of GMM and MLP (Multilayer Perception).

Key concepts: Speaker identification, Mixture model, Computer science, Speech recognition, Artificial neural network, Identification (biology), Speaker recognition, Pattern recognition (psychology)

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