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

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

<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...