Speaker recognition experiment
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Speaker Recognition Experiment. Seungchan Lee Intelligent Electronic Systems Human and Systems Engineering Department of Electrical and Computer Engineering. Overview. Software Release lm_tester, network_builder Debugging utility : Purify HierarchicalSearch Class

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Speaker Recognition Experiment

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Speaker recognition experiment

Speaker Recognition Experiment

Seungchan Lee

Intelligent Electronic Systems

Human and Systems Engineering

Department of Electrical and Computer Engineering


Speaker recognition experiment

  • Overview

  • Software Release

    • lm_tester, network_builder

    • Debugging utility : Purify

    • HierarchicalSearch Class

  • Speaker Recognition System

    • Do Experiment with HMM using the MFCCs

    • Adding invariants in the feature file

  • Next Plans


Speaker recognition experiment

  • Software Release

  • Purify

    • Resolve Compilation problem

      • Compile without sphere utility

    • Track down memory problem

      • Resolve HierarchicalSearch class problem

  • Namemap problem

    • This is caused by the difference of the system which extract

      features and train the feature files.


Speaker recognition experiment

  • Baseline system set up

  • Set up Baseline system

    • It takes much time to set up the baseline system at this time.

    • It will be faster at the next experiment.

  • Problems with Adding invariants

    • Transform_builder

      • Window Class

    • Lyapunov exponent

      • The result recipe sof file has some problems.

         Every result feature vector has the same value.

         Sundar helps me to add the Lyapunov exponent,

        we did not find the reason.


Speaker recognition experiment

  • Baseline system set up

  • Set up Baseline system

    • It takes much time to set up the baseline system at this time.

    • It will be faster at the next experiment.

  • Problems with Adding invariants

    • Transform_builder

      • Window Class

    • Lyapunov exponent

      • The result recipe sof file has some problems.

         Every result feature vector has the same value.

         Sundar helps me to add the Lyapunov exponent,

        we did not find the reason.

@ Sof v1.0 @

@ FeatureFile 0 @

name = "FEATURES";

file_type = "TEXT";

file_format = "SOF";

…………………………..

values = {

11.502,11.4683,12.1384,10.292,5.05849,8.20064,3.72829,8.71881,0.655161,4.4856

,1.29329,-1.04087,-24.0325

}, {

11.502,11.4683,12.1384,10.292,5.05849,8.20064,3.72829,8.71881,0.655161,4.4856

,1.29329,-1.04087,-24.0325

}, {

11.502,11.4683,12.1384,10.292,5.05849,8.20064,3.72829,8.71881,0.655161,4.4856

,1.29329,-1.04087,-24.0325

},

………………………………


Speaker recognition experiment

  • Baseline system set up

  • Transform_builder problem

    • Open existing recipe file and save as different recipe file.

      • Two recipe files are not the same.

      • Window class has been modified after saving

      • Ryan looked into this problem

alignment = LEFT;

normalization = NONE;

compute_mode = CROSS_FRAME;

duration = 0.025;

debug_level = NONE;

constants = LEFT;

alignment = NONE;

normalization = CROSS_FRAME;

compute_mode = 0.025;

duration = NONE;


Speaker recognition experiment

  • Experiment Result

  • Problems with hypothesis

    • The result hypothesis scores is highly less than previous result

    • The “ACCEPTED” and “REJECTED” hypothesis does not give correct decision.

MFCC Feature

Test Utterance

Test Utterance

IHD, 16 Mixture model

JSGF, 16 Mixture model

ACCEPTED: 1.70586e-05 (KAAA)

REJECTED: -0.000698179 (KAAB)

ACCEPTED: 2.19704e-05 (KAAC)

REJECTED: -0.00218273 (KAAD)

REJECTED: -0.000529905 (KAAG)

ACCEPTED: 0.000170417 (KAAH)

REJECTED: -0.000673878 (KAAJ)

REJECTED: -0.842606 (KAAA)

REJECTED: -2.53688 (KAAB)

REJECTED: -0.827423 (KAAC)

REJECTED: -0.803932 (KAAD)

REJECTED: -1.15936 (KAAG)

REJECTED: -1.00537 (KAAH)

REJECTED: -0.555092 (KAAJ)


Speaker recognition experiment

  • DET Curve

DET Curve (Tang’s)

Probability Plot


Speaker recognition experiment

  • Next Plan

  • Software Release

    • Help Daniel to finish the release.

  • Speaker Recognition System

    • Do Experiment with HMM using the MFCCs and invariants

    • Compare the result to previous result

    • Analyze the result and track down the problem

  • Nonlinear System

    • Find the research topics


Speaker recognition experiment

  • List of activities (Spring semester)

  • Become familiar with our system

    • Make first simple program

  • Software Release

    • Work with Daniel on the Software Release

    • ProductionRuleTokenType– modify read/write function with namemap class

    • lm_tester, network_builder

      • Dummy symbol, exclude symbol problem

    • Debugging utility : Purify

      • Resolve compilation problem ( without sphere utility)

      • Fix memory problem – segmentation fault (HierarchicalSearch class

  • Speaker Verification System

    • Designing interface for Verification System

    • Combine three functionality, HMM/GMM, SVM, RVM

       New isip_verify Utility

    • Resolve checksum error (namemap)


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