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Abstract

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    </figure></iframe></div></div></figure><p id="d958">Day 13 — 14: 2020.04.24 — 25

Paper: Deep

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Neural Networks for Acoustic Modelling in Speech Recognition Category: Model/Deep Learning/Speech Recognition</p><p id="c7f0">This is a paper illustrating the “recent development” (in year 2012) of using deep neural network to replace GMM in speech recognition.</p><p id="8a7e">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.</p><figure id="8a91"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*I5qROjWLRNhJN5v-acDkBg.png"><figcaption></figcaption></figure></article></body>

ML Paper Challenge Day 13, 14 — Deep Neural Networks for Acoustic Modelling in Speech Recognition

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.

Deep Learning
Speech Recognition
Neural Networks
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