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

8
Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates

Transcript of Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer...

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

Seungchan LeeInstitute for Signal and Information Processing

Department of Electrical and Computer Engineering

Research Updates

Page 2: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 2 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

Page 3: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 3 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

Page 4: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 4 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

Page 5: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 5 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

Page 6: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 6 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.

Page 7: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 7 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

Page 8: Seungchan Lee Institute for Signal and Information Processing Department of Electrical and Computer Engineering Research Updates.

ISIP: Research Presentation Page 8 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