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GitHub / NeuroSumbaD / SnnAsp
An exploration of blind source audio separation using spiking neural networks. Latency, power. and intelligibility are primary objectives while bio-plausibility is left as a secondary objective to be addressed in the future.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NeuroSumbaD%2FSnnAsp
Stars: 4
Forks: 0
Open Issues: 2
License: None
Language: Python
Repo Size: 4.04 MB
Dependencies:
6
Created: about 4 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: audio-separation, blind-source-separation, neuromorphic-computing, spiking-neural-networks
Files
Dependencies
- matplotlib ==3.3.0
- nengo ==3.0.0
- nengo_dl ==3.2.0
- nengo_gui ==0.4.6
- nengo_loihi ==0.10.0
- tensorflow ==2.2.1