Microsoft WavLM TDNN Code for Speaker Recognition

The code that Microsoft WavLM TDNN used in speaker recognition is a deep neural network (DNN) based acoustic model, which is a connected network of layers of neurons. The network consists of multiple layers of neurons, each layer connected to the next and the last layer connected to the output. The input to the model are the audio signals, which are then passed through the layers, where the neurons are trained to recognize different speaker characteristics. The output of the model is a probability score for each speaker that the model recognizes.