Applying the Method of Deep Belief Network Pre-trained by Restricted Boltzmann Machines on High Confused Mandarin Vowel Recognition
碩士 === 國立中興大學 === 統計學研究所 === 106 === This thesis mainly uses deep belief network (DBN) pre-trained by restricted Boltzmann machine (RBM) to recognize high confused mandarin vowels such as ㄢ, ㄤ>, ㄛ , ㄨㄛ>, ㄥ, ㄣ>, etc. First, we would record the phonetic data of 20 speakers, and then perform a...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/8pukp3 |