Wednesday, March 31, 2010

Figure spanning 2 columns in Latex

If your using 2 columns in a latex document, you'll usually find that a table or figure is just too big for a single column. All you do is use
\begin{figure*}
\end{figure*}

\begin{table*}
\end{table*}

and that will make the figure span the width of the entire page.

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Tuesday, March 23, 2010

Statistical significance

In statistics, a result is called statistically significant if it is unlikely to have occurred by chance.

The amount of evidence required to accept that an event is unlikely to have arisen by chance is known as the significance level or critical p-vale. In traditional Fisherian statistical hypothesis testing, the p-value is the probability conditional on the null hypothesis of the observed data or more extreme data.

p(Data|NullHypothesis)

If the obtained p-value is small then it can be said either the null hypothesis is false or an unusual event has occurred.

In SCTK toolkits, the Null Hypothesis is:

 There is no performance difference between the two systems.

Thus the p-value is, assuming the two system have no difference, the probability of the test statistic having a value at least as extreme as that actually found, is no more than p-value.

So, the small the p-value is, the more statistically significant the system is.

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Speaker Adaptation Method

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Liang_ICASSP_2010.pdf (135 KB)

In the attached paper, the authors combine two speaker adaptation methods to improve the performance of speech synthesis of cross-lingual experiments.

The system are HMM based, and the two methods are:

1) Decision Tree Marginalization

2) HMM State Mapping

From: http://publications.idiap.ch/downloads/papers/2009/Liang_ICASSP_2010.pdf

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Investigation on Tandem Approach

In this attached paper, the authors investigated different aspects of the Tandem approach in the hybrid system.

The overall system they used:



Different processing combinations:


The best is deltas+PCA+normalize.

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Tandem Approach for NN/HMM

Tandem approach of NN/HMM is to use NN for feature extraction. Then the posterior features are used in the conventional HMM systems.

The architecture is:


The training procedure:


Discussion:

Details are in the attached paper.

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icassp00-nnhmm.pdf (59 KB)

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Monday, March 22, 2010

Install JDT on top of CDT

Inside the Eclipse IDE, under Help-> Install New software:

Add following Eclipse Galileo Repository:
http://download.eclipse.org/releases/galileo

to 'Available Software Sites'.

Then select from the Programming Language, the JDT.


Following are some repositories:

Eclipse Galileo Repository - http://download.eclipse.org/releases/galileo
galileo - http://download.eclipse.org/tools/cdt/releases/galileo
update site - http://www.eclipse.org/jdt/core/update-site

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Friday, March 19, 2010

Phoneme Recognition

In Petrov et.al's paper, they reported their phone recognition results on TIMIT to be 21.4% PER.

List of different methods mentioned in their paper:
 

In Sung et.al.'s paper, they used Hidden Conditional Random Field for phone recognition on TIMIT, and achieved 28.3% PER.

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emnlp07a.pdf (326 KB)

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asru09.pdf (210 KB)

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icassp10.pdf (66 KB)

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icassp97.pdf (394 KB)

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