Speech Recognition by Using Convolutional Neural Network

Autor:	Shu-Sian Yang, 楊恕先
Rok vydání:	2019
Druh dokumentu:	學位論文 ; thesis
Popis:	107 The thesis developed a speech recognition method for automatic speech recognition. In this speech recognition method, we obtained the speech feature parameters through Mel frequency cepstral coefficients and input a Convolutional Neural Network. The main difference between this Convolutional Neural Network speech recognition method and traditional speech recognition method is that it does not need to establish an acoustic model. For example, in Chinese, it saved a lot of time without establishing a large number of consonant and vowel models. After obtaining the speech feature parameters through the MFCCs, speech recognition is finished through Convolutional Neural Network.
Databáze:	Networked Digital Library of Theses & Dissertations
Externí odkaz:	http://ndltd.ncl.edu.tw/handle/szuwyc Zobrazit plný text záznamu