DOCS: Update doxygen version (#15210)
* Update build_doc.yml * fixing references * fix refs * fix branch.hpp
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@@ -19,9 +19,9 @@ Basic OpenVINO™ Runtime API is covered by [Hello Classification Python* Sample
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| Options | Values |
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| :------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------- |
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| Validated Models | Acoustic model based on Kaldi* neural models (see [Model Preparation](#model-preparation) section) |
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| Validated Models | Acoustic model based on Kaldi* neural models (see [Model Preparation](#model-preparation-speech-python) section) |
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| Model Format | OpenVINO™ toolkit Intermediate Representation (.xml + .bin) |
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| Supported devices | See [Execution Modes](#execution-modes) section below and [List Supported Devices](../../../docs/OV_Runtime_UG/supported_plugins/Supported_Devices.md) |
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| Supported devices | See [Execution Modes](#execution-modes-speech-python) section below and [List Supported Devices](../../../docs/OV_Runtime_UG/supported_plugins/Supported_Devices.md) |
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| Other language realization | [C++](../../../samples/cpp/speech_sample/README.md) |
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## How It Works
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@@ -51,7 +51,7 @@ model.
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> - It is not always possible to use 8-bit weights due to GNA hardware limitations. For example, convolutional layers always use 16-bit weights (GNA hardware version 1 and 2). This limitation will be removed in GNA hardware version 3 and higher.
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>
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### Execution Modes
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### <a name="execution-modes-speech-python"></a> Execution Modes
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Several execution modes are supported via the `-d` flag:
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@@ -151,7 +151,7 @@ Options:
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default value is 1.0.
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```
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## Model Preparation
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## <a name="model-preparation-speech-python"></a> Model Preparation
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You can use the following model optimizer command to convert a Kaldi nnet1 or nnet2 neural model to OpenVINO™ toolkit Intermediate Representation format:
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