Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a spiking neural network (SNN) for binaural sound source localisation (SSL). The cues used for SSL re the interaural time (ITD) and level (ILD) differences. ITDs and ILDs re extracted with models of the medial superior olive (MSO) and the lateral superior olive (LSO). The MSO and LSO outputs re integrated in a model of the inferior colliculus (IC). The connection ights beten the MSO and LSO neurons to the IC neurons re estimated using Bayesian inference. This inference process allod the algorithm to perform robustly on a robot with ~40,dB of ego-noise. The results shod that the algorithm is capable of differentiating sounds with an accuracy of 15°.
['Jorge Davila-Chacon', 'Stefan Heinrich', 'Jindong Liu', 'Stefan Wermter']
I am writing a research paper on a idea Biomimetic binaural sound source localisation with ego-noise cancellation
[{"from": "human", "value": "I am writing a research paper on a idea Biomimetic binaural sound source localisation with ego-noise cancellation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a spiking neural network (SNN) for binaural sound source localisation (SSL). The cues used for SSL re the interaural time (ITD) and level (ILD) differences. ITDs and ILDs re extracted with models of the medial superior olive (MSO) and the lateral superior olive (LSO). The MSO and LSO outputs re integrated in a model of the inferior colliculus (IC). The connection ights beten the MSO and LSO neurons to the IC neurons re estimated using Bayesian inference. This inference process allod the algorithm to perform robustly on a robot with ~40,dB of ego-noise. The results shod that the algorithm is capable of differentiating sounds with an accuracy of 15\u00b0."}]