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# Warning Messages

Depending on the speaker ID task, IDOL Speech Server can return the following warnings.

Task | Warning message | Recommended action
--- | --- | ---
`IvSpkIdTrain` `IvSpkIdTrainAudio` | Specified parameter file does not exist | Check that all the feature files listed in the `DataList` file exist.
Failed to open ivector parameter file | Check that the read permission is set for all the feature files listed in the `DataList` file.
Failed to read ivector parameter file header | Check that all the feature files listed in the `DataList` file are valid IVP files as created by IDOL Speech Server.
NInputs in parameter file not consistent with previous file(s) | Ensure that all input feature files being used to train the templates were trained with the same configuration (for example, using the same iVector base pack).
Input label file is longer (501 frames) than audio (500 frames) | Ensure that any label files provided to filter the input features match the length of the audio.
`IvSpkIdDevel` `IvSpkIdDevelAudio` | Segmentation window(s) set, but disabled as input label file(s) provided | If label files are provided for filtering the input features, do not attempt to specify the segmentation window.
Could not read file (C:\data\myfile.ivp) - is it a valid ivector parameter (IVP) file? | Check that all the feature files listed in the `DataList` file are valid IVP files as created by IDOL Speech Server.
Incorrect top result for segment (Smith, expected Brown) | Check the content and quality of the development audio file, as well as the audio files used to train the speaker models.
`IvSpkIdDevelFinal` | No development scores found for template [Brown] - threshold not set | Ensure that all speaker templates are included when you run the development tasks (`ivDevel` or `ivDevelAudio`).
No positive examples for template Brown | Ensure that you provide positive audio examples (data from each speaker) for each speaker template.
No negative examples for template Brown | Ensure that you provide negative audio examples (data from speakers other than just the trained speaker) for each speaker template.
Brown shows significant overlap between TRUE and FALSE scores | Check the content and quality of the development audio files, as well as the audio files used to train the speaker models.

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