Recognition of Vocal and Non-Vocal Segments in Musical Sound Tracks
| Autor: | Yi-Chung Wu, 吳逸中 |
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| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 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 testing songs. We compare MFCC and LPCC Likelihood difference to increase the recognition rate.In addition, we tried to recognize the Vocal and Non-Vocal segments by computing correlation coefficient of left channel and right channel of the stereo songs. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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