Hey community. I realized I want to build a custom keyword detection system. A system which understands single words like stop , onn, off etc. I used the speech dataset converted them to spectrograms and passed them through a network of conv1d and lstm. but my model fails to have a good accuracy. Can anyone suggest some article or blog for me to learn regarding the same of working with spectrograms. Thanks