Calo decoder progress report for april may
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CALO Decoder Progress Report for April/May. Arthur (Decoder and ICSI Training) Jahanzeb (Decoder) Yitao (Decoder) Ziad (ICSI Training) Moss (ICSI Training) Carnegie Mellon University Apr 13, 2004. This Presentation (5 pages). Progress report for April/May In March

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CALO Decoder Progress Report for April/May

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Calo decoder progress report for april may

CALO Decoder Progress Report for April/May

Arthur (Decoder and ICSI Training)

Jahanzeb (Decoder)

Yitao (Decoder)

Ziad (ICSI Training)

Moss (ICSI Training)

Carnegie Mellon University

Apr 13, 2004


This presentation 5 pages

This Presentation (5 pages)

  • Progress report for April/May

  • In March

    • Sphinx 3.4 is not ready

    • Just start the script conversion for training

  • In April/May

    • Sphinx 3.4 is ready for release

    • First-cut of AM and LM is done. (Thanks for Rita!)


Decoder

Decoder

  • Speed

    • Compiler Optimization

      • Doesn’t beat loop-unrolling

      • However not using –D and using –ffast-math helps

    • Phoneme-lookahead completes

  • Accuracy

    • Train a continuous HMM using all Communicator data. (S2 17% -> S3.4 14%)

    • 64 mixtures will give us 12% ERR.

    • Speed not-tuned.

  • Outlook in next 3 months (in 3.5)

    • WSJ: potential speed-up problem in task with > 5000 words.

    • Speaker Adaptation: VTLN, MLLR, and techniques for fast enrollment

    • Front-end transformation : LDA, HLDA, ……

    • Model Combination experiment.


Decoder software

Decoder (Software)

  • Release this week

    • Mainly to replace buggy s3.3

  • Not included (will be in 3.5)

    • Live mode APIs (Yitao , 80% completion)

  • Outlook in next 3 months.

    • Can learn from AHTK 1.3

    • Access of the models’ parameters?

    • Server interface?

    • Confidence measures?


Icsi training

ICSI Training

  • Moss –LM training (done)

  • Arthur/Ziad – 1 meeting training (done)

  • Rita (Thanks!) – all meetings training (done)

  • Current results (16 mixture, LM train for in-domain meeting) – 36.4%

    • Different from the standard test set.

  • Outlook in next 3 months

    • Learn the magic from Rita,

    • Wrap-up training script with perl.

    • (Optional) Find a better test set.

    • Start to improve the performance.

      • With speaker adaptation technology.

      • Class-based LM

      • PLP


Infrastructure miscellaneous

Infrastructure/Miscellaneous

  • CVS is setup for

    • MRCP

    • ICSI conversion script

    • Sphinx (will move back to Sourceforge.)

    • Development is transitioning.

    • Check-in training scripts?

  • Scylla and Karybdis are running

    • On a separate queue.

  • Documentation for Sphinx.

    • 3rd draft of outline completed. (9 chapters left.)

    • …… ()

  • Outlook in next 3 months,

    • Continue to maintain CVS. User education.

    • Complete the 2nd draft of the documentation.


Outlook in next 3 months

Outlook in next 3 months.

  • Incorporate transform-based technology

  • Speed-up for task > 5k words.

  • Further improve ICSI training by all resources

  • Transition development to CVS.


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