Constructor
new GmmDecoder(windowSizeopt)
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
windowSize |
Number |
<optional> |
1 | Size of the likelihood smoothing window. |
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Methods
filter(observation, resultsCallbackopt) → {gmmResults}
The decoding function.
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
observation |
Array | An input float vector to be estimated. |
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resultsCallback |
gmmResultsCallback |
<optional> |
null | The callback handling the estimation results. |
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Returns:
- Type
- gmmResults
getLikeliestLabel() → {String}
Get the currently estimated likeliest label.
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Returns:
- Type
- String
getLikelihoodWindow() → {Number}
Get the likelihood smoothing window size.
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Returns:
- Type
- Number
getModel() → {xmmGmmModel}
Get the actual XMM GMM model.
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Returns:
- Type
- xmmGmmModel
getNumberOfClasses() → {Number}
Get the total number of classes the model was trained with.
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Returns:
- Type
- Number
getRegressionVectorSize() → {Number}
Get the output dimension of the model (size of a regression vector).
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Returns:
- Type
- Number
setLikelihoodWindow(newWindowSize)
Set the likelihood smoothing window size.
Parameters:
| Name | Type | Description |
|---|---|---|
newWindowSize |
Number | the new window size. |
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setModel(model)
Set the actual XMM GMM model.
Parameters:
| Name | Type | Description |
|---|---|---|
model |
xmmGmmModel |
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