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1. 1. A critical examination of deep learningapproaches to automated speech recognition

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :NIZAR GANDY ASSAF LAYOUSS; [2014]
   Nyckelord :;

   Sammanfattning : Recently, deep learning techniques have been successfully applied to automatic speech recognition (ASR) tasks. Most current speech recognition systems use Hidden Markov Models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) are exploited to model the emission probability of the HMM. LÄS MER