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The paper proposes the use of just mostly voiced speech (MVS) for speaker verification (SV). The speech is partitioned into an MVS part and a non-MVS part by a simple machine classification. SV experiments were held with a standard Gaussian mixture model (GMM) with universal background model (UBM) system and a GMM with computationally improved individual background model (IBM) system. They demonstrate...
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared: a single GMM trained on a reference corpus of native speech and separate GMMs for different proficiency levels trained on a large corpus of scored non-native speech. 13 vowel categories were evaluated separately (after...
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