diff --git "a/base/ggml-base.en-encoder-openvino.xml" "b/base/ggml-base.en-encoder-openvino.xml"
new file mode 100644--- /dev/null
+++ "b/base/ggml-base.en-encoder-openvino.xml"
@@ -0,0 +1,9131 @@
+<?xml version="1.0"?>
+<net name="main_graph" version="11">
+	<layers>
+		<layer id="0" name="mel" type="Parameter" version="opset1">
+			<data shape="1,80,3000" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="mel">
+					<dim>1</dim>
+					<dim>80</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="onnx::Conv_740" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 80, 3" offset="0" size="491520" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_740">
+					<dim>512</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1" dilations="1" pads_begin="1" pads_end="1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>80</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="onnx::Conv_741" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="491520" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_741">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_102" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="493568" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="ShapeOf_109" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="ShapeOf_100" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="ShapeOf_101" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_103" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="493576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Subtract_104" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Broadcast_105" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Concat_110" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Reshape_111" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="493584" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/Constant_output_0" />
+			</output>
+		</layer>
+		<layer id="15" name="/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="/Erf" type="Erf" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/Erf_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="493588" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/Constant_1_output_0" />
+			</output>
+		</layer>
+		<layer id="18" name="/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="493592" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/Constant_2_output_0" />
+			</output>
+		</layer>
+		<layer id="21" name="/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="onnx::Conv_742" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3" offset="493596" size="3145728" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_742">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2" dilations="1" pads_begin="1" pads_end="1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="onnx::Conv_743" type="Const" version="opset1">
+			<data element_type="f32" shape="512" offset="3639324" size="2048" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_743">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Constant_126" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="493568" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="ShapeOf_133" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="ShapeOf_124" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="ShapeOf_125" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="Constant_127" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="493576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="Subtract_128" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Broadcast_129" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="Concat_134" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Reshape_135" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="/Constant_3" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="493584" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/Constant_3_output_0" />
+			</output>
+		</layer>
+		<layer id="36" name="/Div_1" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Div_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="/Erf_1" type="Erf" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/Erf_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="/Constant_4" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="493588" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/Constant_4_output_0" />
+			</output>
+		</layer>
+		<layer id="39" name="/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Add_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="/Mul_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Mul_2_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="493592" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/Constant_5_output_0" />
+			</output>
+		</layer>
+		<layer id="42" name="/Mul_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="Constant_147" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="3641372" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="/Transpose" type="Transpose" version="opset1">
+			<input>
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