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Showing 1 to 2 of 2 for “"Attention-Based Encoder-Decoder Model"”.

  1. Attention-Based Encoder-Decoder Models for Speech Processing

    … Many speech processing problems are modelled using sequence-to-sequence models. More recently, the Attention-Based Encoder-Decoder (AED) model has become a general and effective neural network that transforms a source sequence into a target sequence. These two sequences may have …

    cambridge Repository record for Attention-Based Encoder-Decoder Models for Speech Processing (opens in a new tab)

  2. Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding

    … or structured. In order for a machine learning model to be effective, volume is not the only data dimension that is necessary. Quality is equally important and has proven to be a critical factor for the success of industrial applications of machine learning. According to IBM, poor data quality …

    uiuc Repository record for Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding (opens in a new tab)