diff --git a/tools/ci_build/github/android/mobile_package.required_operators.config b/tools/ci_build/github/android/mobile_package.required_operators.config
index 72b47ec529..4888200d54 100644
--- a/tools/ci_build/github/android/mobile_package.required_operators.config
+++ b/tools/ci_build/github/android/mobile_package.required_operators.config
@@ -14,8 +14,8 @@ ai.onnx;12;Abs,Add,And,ArgMax,ArgMin,AveragePool,Cast,Ceil,Clip,Concat,ConstantO
 ai.onnx;13;Abs,Add,And,ArgMax,ArgMin,AveragePool,Cast,Ceil,Clip,Concat,ConstantOfShape,Conv,ConvTranspose,Cos,CumSum,DepthToSpace,DequantizeLinear,Div,DynamicQuantizeLinear,Elu,Equal,Exp,Expand,Flatten,Floor,Gather,GatherND,Gemm,Greater,GreaterOrEqual,Identity,If,LRN,LeakyRelu,Less,LessOrEqual,Log,LogSoftmax,Loop,MatMul,Max,MaxPool,Mean,Min,Mul,Neg,NonMaxSuppression,NonZero,Not,Or,PRelu,Pad,Pow,QuantizeLinear,Range,Reciprocal,ReduceMax,ReduceMean,ReduceMin,ReduceProd,ReduceSum,Relu,Reshape,Resize,ReverseSequence,Round,ScatterND,Shape,Sigmoid,Sin,Size,Slice,Softmax,SpaceToDepth,Split,Sqrt,Squeeze,Sub,Sum,Tanh,ThresholdedRelu,Tile,TopK,Transpose,Unique,Unsqueeze,Where
 
 # other ops found in test models 
-ai.onnx;12;GlobalAveragePool,MatMulInteger,QLinearConv,QLinearMatMul
-ai.onnx;13;GlobalAveragePool,MatMulInteger,QLinearConv,QLinearMatMul
+ai.onnx;12;Erf,GlobalAveragePool,InstanceNormalization,MatMulInteger,QLinearConv,QLinearMatMul
+ai.onnx;13;Erf,GlobalAveragePool,InstanceNormalization,MatMulInteger,QLinearConv,QLinearMatMul
 
 # Control flow ops
 #  - If and Loop are covered by the tflite converter list
@@ -24,7 +24,9 @@ ai.onnx;12;Scan
 ai.onnx;13;Scan
 
 # internal ops added by optimizers
-com.microsoft;1;DynamicQuantizeMatMul,FusedConv,FusedGemm,FusedMatMul,MatMulIntegerToFloat,NhwcMaxPool,QLinearAdd,QLinearAveragePool,QLinearConv,QLinearGlobalAveragePool,QLinearMul,QLinearSigmoid
+# Note: LayerNormalization is an internal op even though it is (incorrectly) registered in the ONNX domain.
+ai.onnx;1;LayerNormalization
+com.microsoft;1;BiasGelu,DynamicQuantizeMatMul,FusedConv,FusedGemm,FusedMatMul,Gelu,MatMulIntegerToFloat,NhwcMaxPool,QLinearAdd,QLinearAveragePool,QLinearConv,QLinearGlobalAveragePool,QLinearMul,QLinearSigmoid,SkipLayerNormalization
 # NHWC transformer also uses this, so assuming it's valuable enough to include 
 com.microsoft;1;QLinearLeakyRelu
 
diff --git a/tools/ci_build/github/android/mobile_package.required_operators.readme.txt b/tools/ci_build/github/android/mobile_package.required_operators.readme.txt
index 707eb790a9..aaaded1a7a 100644
--- a/tools/ci_build/github/android/mobile_package.required_operators.readme.txt
+++ b/tools/ci_build/github/android/mobile_package.required_operators.readme.txt
@@ -76,4 +76,5 @@ Other
   - SuperResolution (https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html)
   - DeepLabV3 (https://pytorch.org/tutorials/beginner/deeplabv3_on_android.html)
   - EfficientNet (https://github.com/lukemelas/EfficientNet-PyTorch)
-  - SSD Mobilenet V1 and V2 (https://github.com/qfgaohao/pytorch-ssd)
\ No newline at end of file
+  - SSD Mobilenet V1 and V2 (https://github.com/qfgaohao/pytorch-ssd)
+  - wav2vec 2.0 (adapted from https://github.com/pytorch/ios-demo-app/blob/9845c51c2b417416ccd11277c46e54f9ab811d37/SpeechRecognition/create_wav2vec2.py)