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# LangIdSegWav

The `LangIdSegWav` task reads in data from an audio file, converts it into language identification features, and then processes the data in fixed-sized chunks. It returns the language identification results for each chunk.

## Parameters

Parameter | Description | Required
--- | --- | ---
Type | The task type. Set to `LangIdSegWav`. | 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=LangIdSegWav&File=C:\Data\Speech.wav&ClassList=ListManager/OptClassSet&ClassPath=C:\LangID\&Out=SpeechLang7.ctm

This action uses port `13000` to instruct IDOL 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 `SpeechLang7.ctm` file.

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