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Daniel Vasquez

    Sofía Superstar
    Hierarchical neural network structures for phoneme recognition
    Sophia Superstar
    • Sophia, a talented and mature girl from a middle-class family, dreams of becoming a superstar despite battling end-stage leukemia. With her allies, The Raven and Dr. Robins, she embarks on a whimsical adventure filled with mystery, fun, and magic. The story blends music and a profound message, entertaining both children and families.

      Sophia Superstar
    • In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.

      Hierarchical neural network structures for phoneme recognition
    • Sofía, una niña de ocho años con leucemia terminal, sueña con ser una Superstar. Acompañada por el Cuervo y el Dr. Robins, vive una aventura mágica y divertida que combina música y reflexión. La historia ofrece múltiples niveles de lectura y un humor inteligente, cautivando a toda la familia. ¡Disfruta de Sofía Superstar!

      Sofía Superstar