DEEP NEURAL NETWORK ACOUSTIC MODELING FOR INDONESIAN SPONTANEOUS SPEECH RECOGNITION WITH ACTIVE LEARNING

<p align="justify">The shortcomings of Gaussian Mixture Model (GMM) in modeling spontaneous speech makes Deep Neural Network (DNN) an alternative technique for acoustic modeling. A DNN needs an enormous amount of training data to learn the model parameters effectively. A large amount...

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Bibliographic Details
Main Author: YUWAN (NIM : 23516027), RAHMI
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30162
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Institution: Institut Teknologi Bandung
Language: Indonesia