Automatic Pronunciation Scoring with Score Combination by Learning to Rank and Class-Normalized DP-based Quantization

博士 === 國立清華大學 === 資訊系統與應用研究所 === 103 === This thesis describes an automatic pronunciation scoring framework using learning to rank and class-normalized, dynamic-programming-based quantization. The goal is to train a model that is able to grade the pronunciation of a second language learner, such tha...

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Bibliographic Details
Main Authors: Chen, Liang-Yu, 陳亮宇
Other Authors: Jyh-Shing Roger Jang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/24788225549072910792