Instructions for HTK Toolkit

Initialise HMM

HInit -T 1 -i 100 -M ./Initial hmm1 -S seqSet2

Parameter Estimation
HRest -T 1 -i 100 -M ./trained hmm2 -S seqSet2

Parameter Re-Estimation
HERest -S seq.txt hmm_list.txt

Create Word Level Network
HParse grammera.txt lattica

GrammerA.txt File Format

(hmmEX | hmmBV| hmmVF)

Dict.txt format

hmmEX [EX] hmmEX
hmmBG [BG] hmmBG

Recogniser Command
HVite -T 1 -i label_fileSet2 -o TWM -w lattica_fileSet2 -S seqSet2 dict hmm_listSet2.txt

I'm bored

Buy cheap mobile phones with loads of free gifts.

Click to sign up!!!!

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weeeeeeeeeeeeeeeeeeeeeeee....

:S

I did not realise that my lost blog entry was on the 3rd of May 2008. Meaning to say it is nearly 7 months since i last blogged. Very interesting. hmmm...

Okay, lets see what are the major "landmarks" from May 2008 to January 2009.

1. Darl's Graduatation!

2. Successful transfer from MPhil to PhD! 

3. Darl's 22nd Bday?

4. my 27th Bday? HAHWHAHAHA

5. OH OH! My face appearing in Department newsletter!!!!! HAPPP!!!!

bye! 

shackadoooo

Hello to all, especially to my buzee wuzeee Melissa and Mae Chew who claims that i am boring because i do not update my blog. 

Surrey hills is no joke boy.. REAL HILLS in Surrey. The super steep slopes down and the super steep slopes up. The best part was "buuuu, i cannot take it already, my legs cannot take my body" :-| and the part when she went "YEEE!! Got soil on my shoe" and another part where she went "this is so not my tea of cup". Yeap! no typo error, "tea of cup". And and and... "this is so not super model like"

Presenting super model hot buzeee!

 

Crazy Chap no.1

Crazy chap no.2

Overall, the date was rather happening. And i am shackadoo now. Sleepy and my bleeeding legs are bleeding nua....

Night bus?

Night bus?, originally uploaded by seals81.

Was just looking at my flickr account and saw this photo... still love it everytime i look at it.

Daily Conversations

Dar: Bu, actually this week pass damn fast right?

Me: Erm.. but its only monday today.

Dar: oh.

RE: BORED

Its 8.46 and i am still in the office trying to get some annoying results so i can boast to my supervisor about some results i got.

I been waiting for 16 bloody minutes. Yes 16 mins just to render one stupid image. What the hell... and at the end of the day! The results are still crap. Hmm.. maybe i didnt train enough samples. Afterall, i only trained 120 samples for a 576*768 pixel images. So maybe that is the cause. I used multiple classifers to train my data and the data are used are the same, just different feature sets. HmmMmmm... but i think the results are better than just using a single classifer.

HmmmMMm... i wonder how i wonder why. I wonder why i am stuck in this position. I wonder why i took decided to take a Phd.. i wonder why... i wonder why... the world is full of uncertainies..... blah i am bored.