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Showing 1 to 4 of 4 for “"unsupervised adaptation"”.

  1. Discriminative and adaptive training for robust speech recognition and understanding

    … training (2) To achieve condition-robust unsupervised adaptation with parallel data, adversarial teacher-student learning is proposed to suppress multiple factors of condition variability in the procedure of knowledge transfer from a well-trained source domain LSTM acoustic model to the …

    gatech Repository record for Discriminative and adaptive training for robust speech recognition and understanding (opens in a new tab)

  2. Discriminative methods for statistical spoken dialogue systems

    … robust features and a new method for online unsupervised adaptation. It is shown how the neural network structure can be adapted to output structured joint distributions, giving an improvement over estimating the dialogue state as a product of marginal distributions.

    cambridge Repository record for Discriminative methods for statistical spoken dialogue systems (opens in a new tab)

  3. Multi-modal object detection in non-corresponding imagery using unsupervised techniques

    … detection rates in small LWIR datasets using unsupervised techniques. Our ultimate aim is to achieve multi-modal object detection in non-corresponding RGB and LWIR imagery.<br/><br/>First, a supervised scenario with only a small low-resolution LWIR dataset available for training is considered. …

    qu-belfast Repository record for Multi-modal object detection in non-corresponding imagery using unsupervised techniques (opens in a new tab)

  4. Deep neural network acoustic models for multi-dialect Arabic speech recognition

    … supervised/forced supervised learning algorithm (unsupervised adaptation) was developed and tested on the proposed optimised Arabic phoneme recognition datasets. This new model is evaluated on the Levantine dataset and empirically compared with the results obtained from the baseline Deep Neural …

    nott-trent Repository record for Deep neural network acoustic models for multi-dialect Arabic speech recognition (opens in a new tab)