Visual speech recognition using compact hypercomplex neural networks
Abstract: Highlights•Significant model compression with Parameterized Hypercomplex Layers.•Minor accuracy trade-off depending on the compression level.•Negligible accuracy loss for the audio recognition models.•Better performance than some much larger models.•Potential for applications in low resource devices due to small size.
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