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# WavSidOptimize

Deprecated: The `WavSidOptimize` task is deprecated for IDOL Server version 11.1.0. Use the `SpkIdDevelWav` task instead.

This task is still available for existing implementations, but it might be incompatible with new functionality. The task might be deleted in future.

The `WavSidOptimize` task generates statistics that are used for determining speaker template match thresholds. These values are based on analyzing the speaker match scores observed for each template against both matching speaker data (leading to true positives), and non-matching speaker data (leading to false positives).

You build up the statistics by presenting IDOL Speech Server with audio files labeled as being from one of the known speakers or an unknown speaker. The `WavSidOptimize` task generates these statistics and stores them in a Speaker ID Optimization (.spo) file.

You must run the `WavSidOptimize` task once for each audio file. You can choose to append the scores for each audio file to a single .spo file (the default method), or to create a separate .spo file for each audio file and combine these at the packaging stage.

- To append the scores to a common .spo file, you must ensure that the .spo file does not exist before running the first `WavSidOptimize` task.
- Creating an individual .spo file for each audio file ensures that the scores do not append to a .spo file that existed before running the first `WavSidOptimize` task (for example, from a previous IDOL Speech Server installation). It also allows you to easily remove individual .spo files from the set based on information in the diagnostics files. You must specify a unique name for the .spo file each time you run the task, to avoid overwriting a file.

## Parameters

Parameter | Description | Required
--- | --- | ---
Type | The task name. Set to `WavSidOptimize`. | Yes
Ast | The speaker classifier file. | See Comments.
CompSelect | The components to use for scoring. |
Diag | Whether to generate diagnostic information. |
DiagFile | The file to write the diagnostic information to. |
DiscardShort | Exclude segments shorter than a specific duration from further analysis. |
File | The audio file that contains the speaker sample speech. | Yes
MinNonSpeech | The minimum size in seconds of non-speech segments. |
MinSpeech | The minimum size in seconds of speech segments. |
Sfreq | The sample frequency of the audio file to process. |
SidBase | The sid base pack resource to use to determine the base files to use. |
Sig | The .sig file to use for speaker identification. |
SpeakerName | The speaker label for the speaker in the audio. For unknown speakers, set to `Unknown_`. | Yes
SpkList | A list of speaker templates. | Yes
SpkPath | The path to the directory containing the speaker templates. |
SpkSegCoef | Applies a weight to bias the decision about where speaker boundaries occur. |
Spo | The .spo file to create or update. | Yes
SpoAppend | Whether to append match data scores to a common .spo file. |
SugdInputChannels | The channel layout of the input media file. |
SugdInputFrequency | The sampling rate of the input media file. |
USM | The USM to use. |
USMEnabled | Whether to use the USM for optimization. |

## Example

    http://localhost:13000/action=AddTask&Type=WavSidOptimize&File=C:/Data/BobSpeech.wav&SpkList=ListManager/speakers&SpkPath=C:\training&Spo=speakers.spo&SpeakerName=/ENUK/Bob

This action uses port `13000` to instruct IDOL Speech Server, which is located on the local machine, to generate match statistics for the speaker `/ENUK/Bob` by checking the example speech in `BobSpeech.wav` against the speaker templates specified in the `speakers` list and writing the results to the `speakers.spo` file.

## Comments

If you do not specify the Ast parameter, the action uses the base ast file, determined by the SidBase resource. This base file does not contain any speaker information, and cannot identify speakers, but it performs gender detection and speaker segmentation.

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