Search Results for author: Shaul Druckmann

Found 4 papers, 2 papers with code

A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition

1 code implementation2 Mar 2024 Tyler Benster, Guy Wilson, Reshef Elisha, Francis R Willett, Shaul Druckmann

To the best of our knowledge, this work represents the first instance where noninvasive silent speech recognition on an open vocabulary has cleared the threshold of 15% WER, demonstrating that SSIs can be a viable alternative to automatic speech recognition (ASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Avoiding Spurious Local Minima in Deep Quadratic Networks

1 code implementation31 Dec 2019 Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann

Despite their practical success, a theoretical understanding of the loss landscape of neural networks has proven challenging due to the high-dimensional, non-convex, and highly nonlinear structure of such models.

A mechanistic model of early sensory processing based on subtracting sparse representations

no code implementations NeurIPS 2012 Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii

However, feedback inhibitory circuits are common in early sensory circuits and furthermore their dynamics may be nonlinear.

Over-complete representations on recurrent neural networks can support persistent percepts

no code implementations NeurIPS 2010 Shaul Druckmann, Dmitri B. Chklovskii

A striking aspect of cortical neural networks is the divergence of a relatively small number of input channels from the peripheral sensory apparatus into a large number of cortical neurons, an over-complete representation strategy.

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