Exploring the role of phonetic bottleneck features for speaker and language recognition

ICASSP, pp. 5575-5579, 2016.

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Abstract:

Using bottleneck features extracted from a deep neural network (DNN) trained to predict senone posteriors has resulted in new, state-of-the-art technology for language and speaker identification. For language identification, the featuresu0027 dense phonetic information is believed to enable improved performance by better representing lang...More

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