Visual speech recognition using compact hypercomplex neural networks

Published: 01 Jan 2024, Last Modified: 11 Nov 2024Pattern Recognit. Lett. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
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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