Recognition of Vocal and Non-Vocal Segments in Musical Sound Tracks
碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 100 === In this thesis, we use MFCC, LPC, LPCC feature extractions and HMM(Hidden Markov Model) tool to do training and create a model. Then use the model to recognize the testing songs. The songs in the database will be separated into two parts, training songs and t...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/2dkh4f |