Browsing University of Waterloo by Subject "ASR"
Now showing items 1-3 of 3
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A Dynamic Vocabulary Speech Recognizer Using Real-Time, Associative-Based Learning
(University of Waterloo, 2006)Conventional speech recognizers employ a training phase during which many of their parameters are configured - including vocabulary selection, feature selection, and decision mechanism tailoring to these selections. After ... -
Implementation of DNN-HMM Acoustic Models for Phoneme Recognition
(University of Waterloo, 2015-01-14)Gaussian Mixture Model-Hidden Markov Models (GMM-HMMs) are the state-of-the-art for acoustic modeling in speech recognition. HMMs are used to model the sequential structure and the temporal variability in speech signals. ... -
Unsupervised Clustering and Automatic Language Model Generation for ASR
(University of Waterloo, 2004)The goal of an automatic speech recognition system is to enable the computer in understanding human speech and act accordingly. In order to realize this goal, language modeling plays an important role. It works as a ...