Automatic Speech Recognition

Presents important theoretical foundation and practical considerations of using a wide range of deep learning models and methods for automatic speech recognitionReviews past and present work (up to the fall of year 2014) on most impactful work based on deep learning for acoustic modeling in speech recognitionGoes deeply into rigorous mathematical and technical descriptions of deep learning methods successful for speech recognition and related areas of applicationsAnalyzes research directions and trends towards establishing future-generation speech recognition based on extending the current deep learning modelsIncludes supplementary material: sn.pub/extras

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