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I am designing two models using Edge Impluse. One has Google Speech Commands as dataset and other is for binary classification of fire alarms. I will be using MFCC and MFE respectively for feature extraction. Will your pico-light-voice tutorial work for it if I want to make inference for pico using MAX9814. Basically I want to ask do I just have to make the changes you mentioned in your EdgeImpulse blog, if I change the dataset and feature extraction techniques? Keeping in mind that Google Speech Command Dataset has a sampling rate of 16 KHz.
Thanks so much.
The text was updated successfully, but these errors were encountered:
Hi @AlexFWulff,
I am designing two models using Edge Impluse. One has Google Speech Commands as dataset and other is for binary classification of fire alarms. I will be using MFCC and MFE respectively for feature extraction. Will your pico-light-voice tutorial work for it if I want to make inference for pico using MAX9814. Basically I want to ask do I just have to make the changes you mentioned in your EdgeImpulse blog, if I change the dataset and feature extraction techniques? Keeping in mind that Google Speech Command Dataset has a sampling rate of 16 KHz.
Thanks so much.
The text was updated successfully, but these errors were encountered: