About Developed an edge AI system that classifies dog emotions from barking audio using TensorFlow Lite and MFCC-based feature extraction. Optimized the model for low-memory deployment on smart pet ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

As shown in Figure 4a, the feature extraction using MFCC includes the steps such as pre-emphasis, framing the signal, windowing, Fast Fourier Transform (FFT), Mel-Filter Bank, Logarithm, Discrete ...

Modern manufacturing processes depend heavily on industrial robots with vision systems installed, which allow them to perform tasks like tracking, manipulation, and object recognition. But one major ...