1 / 19

專題研究 (2) HINIT + HREST + HEREST

專題研究 (2) HINIT + HREST + HEREST. Prof. Lin-Shan Lee, TA. Yun-Nung Chen. Acoustic Model Initialization. HInit + HRest. Feature Extraction - MFCC. Example of MFCC. Acoustic Model. 5. Hidden Markov Model/Gaussian Mixture Model Acoustic model unit : Initial Final set 3 states per model

arlais
Download Presentation

專題研究 (2) HINIT + HREST + HEREST

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 專題研究 (2)HINIT + HREST + HEREST Prof. Lin-Shan Lee, TA. Yun-Nung Chen

  2. Acoustic Model Initialization HInit + HRest

  3. Feature Extraction - MFCC

  4. Example of MFCC

  5. Acoustic Model 5 • Hidden Markov Model/Gaussian Mixture Model • Acoustic model unit : Initial Final set • 3 states per model • 1 Gaussian mixture per state • We will increase Gaussian mixture next time • Example

  6. Example of HMM

  7. Flow Chart 7

  8. Phone Model Training • Train a phone model “ai” • Label data • Example • HInit – find a starting point • HRest – climb hill

  9. Acoustic Model Training HERest

  10. Acoustic Model Training • Add “ai” into “hmm.set.no_ai” • Other phones have been trained • HERest • Also hill climbing • Consider whole utterance • Do several times

  11. Appendix HInit + HRest + HERest

  12. HInit • Hinit • -A print command line • -T 1 trace flag to 1 • -C ./config/train.cfg set config file • -l ai set segment label • -o ai hmm def output • -S ./scp/train.scp set file of features • -L /share/data/TrainingLabel/ set input label dir • proto hmm file

  13. HRest • HRest • -A print command line • -T 1 trace flag to 1 • -C ./config/train.cfg set config file • -l ai set segment label • -S ./scp/train.scp set file of features • -L /share/data/TrainingLabel/ set input label dir • ai hmm file

  14. HERest • HERest • -A print command line • -T 1 trace flag to 1 • -C ./config/train.cfg set config file • -S ./scp/train.scp set file of features • -L /share/data/TrainingLabel/ set input label dir • -H hmmset.mmf load hmm file • -M hmm_herest write hmm file dir • ./list/phone.lst hmm list

  15. Homework HInit + HRest + HERest

  16. To Do • Acoustic model initialization • HInit +HRest • Train phone model “ai” • Acoustic model re-training • HERest • HTKBook Chap 8.1 – 8.5

  17. About Linux Saving your time…

  18. To Save Your Time … • Install Cygwin • Ref: 工作站使用說明 • Install HTK on your PC • Download HTK from 課程網站

  19. Tips (cygwin) • 選擇你要的套件:

More Related