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Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

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Presentation on theme: "Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates."— Presentation transcript:

1 Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates

2 ISIP: Research Presentation Page 1 of 9 Overview Speaker Recognition System  Replicate Tang’s experiment  Resolve new isip_verify problem  Do Experiment with HMM using the MFCCs and invariants  Tried to tune the parameters in Lyapunov exponent Modify isip_run Data Transfer to ECE Next Plans

3 ISIP: Research Presentation Page 2 of 9 Resolve isip_verify problem It does not load StatisticalModel into Search engine in VerifyHMM class.  The result hypothesis scores is highly less than previous result  The “ACCEPTED” and “REJECTED” hypothesis does not give correct decision. ACCEPTED: 1.70586e-05 (KAAA) REJECTED: -0.000698179 (KAAB) ACCEPTED: 2.19704e-05 (KAAC) REJECTED: -0.00218273 (KAAD) REJECTED: -0.000529905 (KAAG) REJECTED: -0.842606 (KAAA) REJECTED: -2.53688 (KAAB) REJECTED: -0.827423 (KAAC) REJECTED: -0.803932 (KAAD) REJECTED: -1.15936 (KAAG) Old systemNew system All problems were resolved after fixing VerifyHMM class

4 ISIP: Research Presentation Page 3 of 9 Speaker Recognition using invariants Started from Lyapunov exponent  Remove delta coefficients from MFCC  13 dim  Add Lyapunov exponent  14 dim  The result is worse than MFCC only.  We need to find different modeling method

5 ISIP: Research Presentation Page 4 of 9 Speaker Recognition using invariants Started from Lyapunov exponent  Remove delta coefficient from MFCC  13 dim  Add Lyapunov exponent  14 dim  The result is worse than MFCC only.  We need to find different modeling method

6 ISIP: Research Presentation Page 5 of 9 Cluster at ECE New isip_run design Cluster management software is different between at CAVS and at ECE. It requires different job command and script file at ECE. Add generateScript() and generateCommand() in Splitter class. It can afford to add several clusters at the different location.

7 ISIP: Research Presentation Page 6 of 9 Data transfer to ECE I’m ready for transferring data, but we have some problems.  Transfer speed ( 6 hours for 4.9G)  Is that possible to transfer several directories at a time.  Read only mode - Disk at ECE  PC availability  run a job in the background  File Permission at CAVS  After finishing transfer, we need to verify the data.  Data size  Continuously reduced and will reduce the size. Verification of the data The size and the number of files Selectively choose several files, and compare them corpora exp research corpora exp research 146G 216G 286G 115G 201G 160G 648G 476G

8 ISIP: Research Presentation Page 7 of 9 Next Plan Speaker Recognition Experiment  Do Experiment with HMM using the MFCCs and invariants  Find new modeling methods for invariants Thesis  Select the research topics - Speaker recognition using prosodic features - Speaker recognition using nonlinear invariants


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