v3.0.1

3.0.1

• Fix make_vad.py so the VAD model works properly.
• Fix smoothing of classifier output.
• Improvements to noise mixing in audio training scripts
• Use featurizer metadata to get correct defaults for some audio script parameters
• Improvements and code clean up in view_audio.py
• make_dataset will fill the featurizer internal buffer before returning features so it doesn't featurize zeros.
• onnx_importer: fixes to ConstantFill, Reshape, Slice, Transpose, and support for constant folding involving Cast, and Mul and fix handling of nodes with multiple outputs.
• Fix bug causing OptimizeReorderDataNodesTransformation to fail caused by input port and memory layout mismatch
• move to SWIG 4.0.0.