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gordonn's Introduction

GordoNN

GordoNN is a model for speech recognition for neuromorphic cochleas based on two implementations of HOTS, the first being the zero dimentional HOTS from Germain, Kevin and Ryad, and the second the classic one dimensional HOTS.
Notice that due to memory limitation the Datasets are not loaded on the repo, therefore, in the case of the On and Off recognition task, the folders containing the data (on_aedats,off_aedats) should be positioned in the DATA/On_Off/ folder

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(One of the biggest problems to deal with cochleas is to account for the different gain values of each filter)

gordonn's People

Contributors

marcorax avatar jpdominguez avatar

Stargazers

Jack Huang avatar  avatar Francisco Luna Perejon avatar

Watchers

James Cloos avatar Alexandre Marcireau avatar  avatar Gehere Kévin avatar Vincent FM avatar

gordonn's Issues

Rebuild histogram classification for 2D Hots

Working on histogram classification on 0D Hots I found out that the code is very messy and should be partially rewritten, also the Bhattacharyya seems to work on 0D Hots therefore something conceptually wrong is happening in 2D Hots, find out why

Remove channel selectivity in 2D_HOTS

channel selectivity for building time surfaces is not ideal, a solution might be to create the surface only when enough events are generated temporally close to eachother

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