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Robust i-vector based adaptation of DNN acoustic model for speech recognition.

INTERSPEECH, pp.2877-2881, (2015)

Cited by: 38|Views47
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Abstract

In the past, conventional i-vectors based on a Universal Background Model (UBM) have been successfully used as input features to adapt a Deep Neural Network (DNN) Acoustic Model (AM) for Automatic Speech Recognition (ASR). In contrast, this paper introduces Hidden Markov Model (HMM) based ivectors that use HMM state alignment information ...More

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