Jurafsky, Daniel & James H. Martin. 2017 (3rd Edition). Speech and Language Processing. Singapore: Pearson Education, Inc.: Selections from Chapter 9, “Automated Speech Recognition”, 291-312.
The article mentioned about using Gaussian mixture model for computing acoustic likelihoods but not other models, I was wondering what is the advantage of using this model? What is the difference?
The article mentioned about using Gaussian mixture model for computing acoustic likelihoods but not other models, I was wondering what is the advantage of using this model? What is the difference?