We did think of mufflers, but we didn't have them as we were using a dataset collected by another researcher, who used the same system in a quiet environment, then in a windy 'real world' environment. We used this data for training, testing and validation, but didn't have the equipment or time to make a new dataset :(

But this is probably the most practical solution, the data we have doesn't allow for it however. This could be used in the real world and the system could be more accurate, however in a crowded environment there will be other sounds the microphone will pick up, so some type of noise filter would be needed anyway.