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Day 13 — 14: 2020.04.24 — 25
Paper: Deep Neural Networks for Acoustic Modelling in Speech Recognition
Category: Model/Deep Learning/Speech Recognition

This is a paper illustrating the “recent development” (in year 2012) of using deep neural network to replace GMM in speech recognition.

Its idea still pre-trained with layers of RBMs, and then combine them into deep belief network and finally a pre-trained DBN-DNN, to make deep learning possible, like the early development of deep learning in image recognition.

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Chun-kit Ho
Chun-kit Ho

Written by Chun-kit Ho

cloud architect@ey | full-stack software engineer | social innovation | certified professional solutions architect in aws & gcp

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