In this problem, you will implement a speaker recognition system. The speaker recognition system is a deep learning model that can identify the speaker of an audio file. This is a challenging problem that requires a good understanding of deep learning and audio processing.
**Example:** Suppose you have an audio file of a person speaking English. You need to identify the speaker of the audio file.
**Constraints:** You can only use the speaker recognition model architecture and you must use the PyTorch library to implement the model.
**Note:** You can assume that the input audio file is a 1D NumPy array with a shape of (n_samples,).
Test Cases
Test Case 1
Input:
[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]Expected:
[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]]Test Case 2
Input:
[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]]Expected:
[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]]+ 3 hidden test cases