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# LangIdCumWav

The `LangIdCumWav` task reads in data from an audio file and converts it into language identification features. It returns the running language identification score at periodic intervals. This is the score for all the data from the start to the current point.

## Parameters

Parameter | Description | Required
--- | --- | ---
Type | The task type. Set to `LangIdCumWav`. | Yes
Beam | The beam width of the search process. |
ClassList | A list of language classifiers to use. |
ClassPath | The path to the directory containing the language classifiers. |
DnnFile | The Deep Neural Network acoustic modeling file to use. |
File | The audio file to process. | Yes
Lang | The name of the language pack to use. | Yes
LangList | A subset of languages to use from the classifier list file. |
MinPhoneRate | The minimum phone rate (phones per second). |
NBest | The maximum number of language candidates to include in the output file. |
Out | The file to write language identification results to. | Yes
SegSize | The maximum results segment size. |
SilThresh | The threshold between what the task identifies as silence and non-silence. |
SpeechThresh | The threshold between speech and non-speech (music or noise). |
SugdInputChannels | The channel layout of the input media file. |
SugdInputFrequency | The sampling rate of the input media file. |

Note: The `ClassList` parameter is required only if you want to change the audio sample rate, or if you want to use your own custom classifiers. You might also need to specify the `ClassPath` parameter, depending on the location of the classifier files.

## Example

    http://localhost:13000/action=AddTask&Type=LangIdCumWav&File=C:\Data\Speech.wav&ClassList=ListManager/OptClassSet&ClassPath=C:\LangID\&Out=SpeechLang4.ctm

This action uses port `13000` to instruct Speech Server, which is located on the local machine, to identify the language in the `Speech.wav` file using the language classifiers specified in the `OptClassSet` list. The action instructs IDOL Speech Server to write the identification results to the `SpeechLang4.ctm` file.

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