540.540. Speaker Diarization

Speaker Diarization is the process of identifying and separating speakers in an audio recording. This is a challenging task in audio machine learning, requiring the use of deep learning techniques. In this problem, we will use a simple speaker diarization model to identify the speakers in a given audio recording.

**Example:** Given an audio recording of two speakers, the model should be able to identify the speakers and return their corresponding labels.

**Constraints:** The audio recording is 10 seconds long, and there are only two speakers.

**Goal:** Write a function that takes an audio recording as input and returns the speaker labels for each time frame.