I created a simple model with Pytorch to recognize bird sounds and until now I feed it .wav recordings. I want to start doing real time recognition and my question is: can I convert bytes to Pytorch tensors directly without converting it first to numpy?
What I do is make an MFCC from the audio that feed it to the model.
Thank you
What I'm doing right now is to use numpy.frombuffer and after I use torch.from_numpy as a way to convert the byte data to tensor
PyTorch also has a torch.frombuffer function.